Analysis of the salient features of Beck’s cognitive theory Essay Example for Free

Analysis of the salient features of Becks cognitive scheme EssayBecks cognitive theory assumes that most psychological problems arise from faulty thinking processes. The theory is centred on three factors that air what can be illustrated as a triad. Beck (1976) noted that the three factors that affect the human minds capabilities atomic number 18 thoughts, antecedent events and behavior (Figure 1). Figure 1 The foundation of Becks (1976) concept of the cognitive theory Source Created from the description by Bandura (1976) A point worth noting is that these factors cannot act on their own as they do so in synergy with other(a) factors. For instance, behavior is affected by the environment thoughts are affected by the self (individual) and antecedent events are influenced by the current events. Becks cognitive theory perceives antecedent events, thoughts and behavior to be dynamic. In addition, according to (1998), each of the three constituents of the triad is capable of al ter others. However, Beck (1976) notes that in evaluating the triad, cognition or thoughts require more emphasis.This is be evidence it is through thoughts that human beings are able to castrate their beliefs, attitudes, interpretation and perceptions in different instances. Moreover, thoughts or cognitive factors serve as a platform for filtering or appraising events. In line with this, if the human mind is biased towards one event at the disbursement of another, the thinking process would elicit some form of emotional and behavioral responses that would imply some problems in life. Therefore, according to this theory, the personal manner human beings think could actually change the way they feel and behave.The cognitive theory serves as a way of understanding and treating depression due to the approach it takes in addressing the various faculties of the mind. In addition, since it highlights issues related to mental capabilities, it is appropriate for addressing mental health i ssues and other instances of disorders that arise due to depression or factors such as substance use. In postulating the theory, Beck was of the opinion that depressed stack often have first gear opinion of themselves.Precisely, Beck suggested that depressed people believe that the world, their future, and they themselves were the causes of their depression. In addition, Beck (1998) noted that people might be face up with psychological difficulties due to occurrence of automatic thoughts, negative self-assessments and dysfunctional assumptions. Moreover, Beck connoted that automatic thoughts usually pave the way for emotions but occur considerably fast with the affected individuals little awareness.As a result, such individuals do not view themselves with high esteem. As an example, people affected by focusing may address themselves in considerably high critical tones they in addition blame themselves for every mishap that befalls them. Becks theory and depression Beck (1987) noted that depressed people, apart from having a low opinion of themselves, also develop abstracts in their minds such as if many people hate me then I am worthless. Nevertheless, such beliefs are usually primitive, overstated and rigid.It is worthy noting that the self schemas developed in the minds pf distressed people are usually stable but latent and only discernible when they are stimulated by social stressors (for instance when a person provokes the distressed individual) (Beck, 1987). Once the distressed person is provoked, the depressive diagram in the mind of the individual becomes activated by the stress of the event (provocation) and results into a two-fold consequence (Beck, 1976). The first put together is that the content of the distressed person becomes negative.This is characterized by a cognitive triad and the person develops negative beliefs about(predicate) himself or herself, the world and the future (i. e. every aspect of the cognitive triad becomes negativ e). In the second phase, in that location is a systematic bias in the mind that characterized by distortion of information processing capacitance and being prone to committing errors. Although not all forms of depression are caused by stimulation of the self-schemas, Beck viewed the negative cognitive triad and negative processing of information as the intrinsic features of all depressions (Beck, 1987).The result of the negative schema is fear for all activities by the individual. This is in spite of the fact that some activities could be easily accomplished. For instance, a negative evaluation of self worth may be I am unworthy, I average cant do this and a negative evaluation of the world or daily events may be Everything that happens to me is just enough evidence that my world is crumbling, this world does not need me. On the other hand, a distressed persons evaluation of the future may be It seems that nothing forget ever get better for me even in future. From the above ill ustration, Becks Cognitive Model of Depression intelligibly shows how early experiences in life can lead to the development of dysfunctional beliefs, which in turn cause individuals to have negative self-views, which in turn result into depression (Beck, 1987).

The Concept of Probability in Mathematics

The Concept of detect in MathematicsProbability is a way of evinceing knowledge or belief that an outcome leaveinging occur or has occurred. The concept has been presumption an exact mathematical importee in fortune possible action, which is employ extensively in such argonas of study as mathematics, statistics, finance, gambling, science, and philosophy to kick the bucket conclusions rough the turnlelihood of potential topics and the underlying mechanics of complex systems.The word luck does non countenance a consistent direct definition. In fact, there ar deuce broad categories of hazard interpretations, whose adherents consume different views close to the fundamental disposition of prospect.The word Probability derives from Latin word probabilitas that give the axe also mean probity, a measure of the authority of a witness in a legal grammatical case in Europe, and often correlated with the witnesss nobility. In a sense, this differs much from the moder n meaning of chance, which, in contrast, is intentiond as a measure of the weight of empirical evidence, and is arrived at from inductive reasoning and statistical inference. taleThe scientific study of hazard is a modern development. Gambling shows that there has been an interest in quantifying the ideas of chance for millennia, just now exact mathematical descriptions of use in those problems besides arose much later.According to Richard Jeffrey, Before the core of the s progenyeenth one C, the term probable meant approvable, and was employ in that sense, univocally, to opinion and to action. A probable action or opinion was sensation such as sensible people would under acquire or hold, in the circumstances.4 However, in legal contexts oddly, probable could also apply to propositions for which there was good evidence.Aside from some elementary conside proportionalityns do by Girolamo Cardano in the 16th century, the doctrine of probabilities dates to the correspondenc e of Pierre de Fermat and Blaise Pascal (1654). Christiaan Huygens (1657) gave the earliest known scientific tr annihilatement of the subject. Jakob Bernoullis and Abraham de Moivres Doctrine of Chances (1718) treated the subject as a branch of mathematics. See Ian Hackings The Emergence of Probability and jam Franklins The Science of Conjecture for histories of the proto(prenominal) development of the very(prenominal) concept of mathematical probability.The conjecture of errors may be traced tush to Roger Cotes but a memoir prepared by Thomas Simpson in 1755 (printed 1756) outgrowth utilise the conjecture to the discussion of errors of observation. The reprint (1757) of this memoir lays down the axioms that positive and negative errors are evenly probable, and that there are certain assignable limits within which all errors may be supposed to come in continuous errors are discussed and a probability prune is given.Pierre-Simon Laplace (1774) made the first attempt to d educe a rule for the combination of observations from the normals of the theory of probabilities. He represented the law of probability of errors by a curve y = (x), x universe any(prenominal) error and y its probability.He also gave (1781) a formula for the law of facility of error (a term due to Lagrange, 1774), but one which led to unmanageable equations. Daniel Bernoulli (1778) introduced the principle of the maximal product of the probabilities of a system of concurrent errors.The method of least squares is due to Adrien-Marie Legendre (1805), who introduced it in his in the altogether Methods for find the Orbits of Comets. In ignorance of Legendres contribution, an Irish-Ameri quite a little writer, Robert Ad rain down, editor of The Analyst (1808), first deduced the law of facility of error,h being a changeless(prenominal) depending on precision of observation, and c a scale factor ensuring that the area under the curve equals 1. He gave two proofs, the second being e ssentially the same as John Herschels (1850). Gauss gave the first proof which seems to gull been known in Europe (the third after Adrains) in 1809. Further proofs were given by Laplace (1810, 1812), Gauss (1823), James Ivory (1825, 1826), Hagen (1837), Friedrich Bessel (1838), W. F. Donkin (1844, 1856), and Morgan Crofton (1870). Other contributors were Ellis (1844), De Morgan (1864), Glaisher (1872), and Giovanni Schiaparelli (1875). Peterss (1856) formula for r, the probable error of a integrity observation, is well known.In the 19th century authors on the general theory included Laplace, Sylvestre Lacroix (1816), Littrow (1833), Adolphe Quetelet (1853), Richard Dedekind (1860), Helmert (1872), Hermann Laurent (1873), Liagre, Didion, and Karl Pearson. Augustus De Morgan and George Boole improved the exposition of the theory.Andrey Markov introduced the notion of Markov chains (1906) vie an important role in theory of stochastic processes and its applications.The modern theory of probability based on the measure theory was developed by Andrey Kolmogorov (1931).On the geometric side, contributors to The Educational Times were influential.Types of probability there are basically four types of probabilities, each with its limitations. None of these approaches to probability is wrong, but some are much useful or more(prenominal) general than other(a)s.Classical ProbabilityThe virtuous interpretation owes its name to its early and august pedigree. Championed by Laplace, and found even in the works of Pascal, Bernoulli, Huygens, and Leibniz, it assigns probabilities in the absence of any evidence, or in the presence of symmetrically balanced evidence.The classical theory of probability applies to equally probable results, such as the outcomes of tossing a funds or throwing cube such events were known as equipossible.probability = chassis of favourable equipossibilies / total number of relevant equipossibilities.Logical probabilityLogical theories of p robability retain the classical interpretations idea that probabilities fuel be determined a priori by an examination of the space of possibilities. native probabilityA probability derived from an individuals personal judgment about whether a specific outcome is possible to occur. indispensable probabilities contain no black-tie calculations and only reflect the subjects opinions and past experience.Subjective probabilities differ from person to person. Because the probability is congenital, it contains a higher(prenominal) layer of personal bias. An example of inborn probability could be asking New York Yankees fans, before the baseball season starts, the chances of New York lovable the world series. While there is no sheer(a) mathematical proof behind the answer to the example, fans might still reply in actual luck hurt, such as the Yankees having a 25% chance of winning the world series.In every twenty-four hour period speech, we express our beliefs about likelihoods of events using the same terminology as in probability theory. Often, this has nothing to do with any formal definition of probability, rather it is an intuitive idea guided by our experience, and in some cases statistics. many Of the Examples Of ProbabilityX says Dont buy the avocados here about half the time, theyre rotten. X is expressing his belief about the probability of an event that an avocado give be rotten based on his personal experience.Y says I am 95% certain the capital of Spain is Barcelona. Here, the belief Y is expressing is only a probability from his rouse of view, because only he does not know that the capital of Spain is Madrid (from our point of view, the probability is speed of light%). However, we arse still view this as a subjective probability because it expresses a measure of uncertainty. It is as though Y is saying in 95% of cases where I feel as sure as I do about this, I turn out to be right.Z says There is a visit chance of being shot in Omaha t han in Detroit. Z is expressing a belief based (presumably) on statistics.Dr. A says to Christina, There is a 75% chance that you will live. Dr. A is basing this off of his research.Probability can also be expressed in vague terms. For example, someone might say it will belike rain tomorrow. This is subjective, but implies that the speaker believes the probability is greater than 50%.Subjective probabilities have been extensively stu snap offd, especially with regards to gambling and securities markets. While this type of probability is important, it is not the subject of this book.There are two exemplar approaches to conceptually interpreting probabilities. The first is known as the coherent run (or the relative frequency approach) and the subjective belief (or confidence approach). In the Frequency Theory of Probability, probability is the limit of the relative frequency with which an event occurs in repeated trials (note that trials must be independent).Frequentists talk about probabilities only when dealing with experiments that are haphazard and well-defined. The probability of a hit-or-miss event denotes the relative frequency of occurrence of an experiments outcome, when repeating the experiment. Frequentists realize probability to be the relative frequency in the prospicient run of outcomes.Physical probabilities, which are also called accusative or frequency probabilities, are associated with random physiological systems such as roulette wheels, rolling dice and radioactive atoms. In such systems, a given type of event (such as the dice resignation a six) tends to occur at a persistent rate, or relative frequency, in a long run of trials. Physical probabilities any explain, or are invoked to explain, these stable frequencies. Thus talk about physical probability makes sense only when dealing with well defined random experiments. The two main kinds of theory of physical probability are frequentist accounts and propensity accounts.Relative fre quencies are continuously amongst 0% (the event essentially never happens) and 100% (the event essentially al shipway happens), so in this theory as well, probabilities are between 0% and 100%. According to the Frequency Theory of Probability, what it means to say that the probability that A occurs is p% is that if you repeat the experiment over and over again, independently and under essentially akin conditions, the percentage of the time that A occurs will converge to p. For example, under the Frequency Theory, to say that the chance that a come to lands heads is 50% means that if you toss the coin over and over again, independently, the ratio of the number of measure the coin lands heads to the total number of tosses approaches a limiting value of 50% as the number of tosses grows. Because the ratio of heads to tosses is always between 0% and 100%, when the probability exists it must be between 0% and 100%.In the Subjective Theory of Probability, probability measures the spe akers degree of belief that the event will occur, on a scale of 0% (complete disbelief that the event will happen) to 100% (certainty that the event will happen). According to the Subjective Theory, what it means for me to say that the probability that A occurs is 2/3 is that I believe that A will happen twice as strongly as I believe that A will not happen. The Subjective Theory is particularly useful in assigning meaning to the probability of events that in principle can occur only once. For example, how might one assign meaning to a asseveration like there is a 25% chance of an earthquake on the San Andreas fault with magnitude 8 or larger before 2050? It is very hard to use either the Theory of Equally Likely Outcomes or the Frequency Theory to make sense of the assertion.Bayesians, however, assign probabilities to any statement whatsoever, even when no random process is involved. Probability, for a Bayesian, is a way to represent an individuals degree of belief in a statement, given the evidence.Evidential probability, also called Bayesian probability, can be assigned to any statement whatsoever, even when no random process is involved, as a way to represent its subjective plausibility, or the degree to which the statement is supported by the available evidence. On most accounts, evidential probabilities are considered to be degrees of belief, defined in terms of dispositions to gamble at certain odds. The four main evidential interpretations are the classical interpretation, the subjective interpretation, the epistemic or inductive interpretation, and the logical interpretation.TheoryLike other theories, the theory of probability is a representation of probabilistic concepts in formal terms-that is, in terms that can be considered separately from their meaning. These formal terms are manipulated by the rules of mathematics and logic, and any results are then interpreted or translated back into the problem domain.There have been at least two supremacyf ul attempts to formalize probability, namely the Kolmogorov locution and the Cox formulation. In Kolmogorovs formulation, sets are interpreted as events and probability itself as a measure on a class of sets. In Coxs theorem, probability is taken as a primitive and the emphasis is on constructing a consistent assignment of probability values to propositions. In two cases, the laws of probability are the same, merely for technical details.There are other methods for quantifying uncertainty, such as the Dempster-Shafer theory or possibility theory, but those are essentially different and not compatible with the laws of probability as they are usually mum.numerical TreatmentIn mathematics, a probability of an event A is represented by a received number in the range from 0 to 1 and written as P(A), p(A) or Pr(A). An impossible event has a probability of 0, and a certain event has a probability of 1. However, the converses are not always true probability 0 events are not always impo ssible, nor probability 1 events certain.The opposite or complement of an event A is the event (that is, the event of A not occurring) its probability is given by P(not A) = 1 P(A). As an example, the chance of not rolling a six on a six-sided check is 1 (chance of rolling a six) .If both the events A and B occur on a single performance of an experiment this is called the intersection or joint probability of A and B, denoted as . If two events, A and B are independent then the joint probability isFor example if two coins are flipped the chance of both being heads isIf either event A or event B or both events occur on a single performance of an experiment this is called the union of the events A and B denoted as . If two events are mutually goop then the probability of either occurring isFor example, the chance of rolling a 1 or 2 on a six-sided run out isIf the events are not mutually exclusive thenConditional probability is the probability of some event A, given the occurrence of some other event B. Conditional probability is written P(AB), and is read the probability of A, given B. It is defined byIf P(B) = 0 then is undefined.ApplicationsTwo major applications of probability theory in everyday life are in risk assessment and in trade on commodity markets. Governments typically apply probabilistic methods in environmental regulation where it is called pathway analysis, often measuring well-being using methods that are stochastic in nature, and choosing projects to undertake based on statistical analyses of their probable effect on the population as a whole.A good example is the effect of the perceived probability of any widespread Middle due east conflict on oil prices which have ripple effects in the economy as a whole. An assessment by a commodity trader that a war is more apt(predicate) vs. less liable(predicate) sends prices up or down, and signals other traders of that opinion. Accordingly, the probabilities are not assessed independently nor n ecessarily very rationally. The theory of behavioural finance emerged to draw off the effect of such groupthink on pricing, on policy, and on peace and conflict.It can reasonably be said that the discovery of rigorous methods to assess and combine probability assessments has had a punishing effect on modern society. Accordingly, it may be of some importance to most citizens to understand how odds and probability assessments are made, and how they contribute to reputations and to decisions, especially in a democracy.Another significant application of probability theory in everyday life is reliability. Many consumer products, such as automobiles and consumer electronics, utilize reliability theory in the design of the product in sanctify to reduce the probability of failure. The probability of failure may be closely associated with the products warranty.Probability Of Winning A LotteryEveryone knows that the probability of winning the draftsmanship is a pretty big long shot. How l ong, however, you in all likelihood never sincerely thought about. Your actual odds of winning the lottery depend on where you play, but single state lotteries usually have odds of about 18 million to 1 while multiple state lotteries have odds as high as 120 million to 1.If you have ever thought youd win the lottery, youre not alone. About one out of every three people in the United States think that winning the lottery is the only way to become financially secure in their life. This is a frightening statistic when you sit down and consider what the above odds really mean.Its time to take a long hard look at the chances of you winning the lottery. While winning the lottery may be something that you want, to show you your chances well take a look at a number of remote occurrences that you probably wouldnt like to have happen to you and probably dont think will ever happen to you but are still much more presumable to happen to you than winning the lottery.How about the classic od ds of being struck by lightning? The actual probability of this mishap varies from year to year, but as a good estimate, the National Safety Council says between 70 and 120 people a year overhaul in the US by lightning so lets take 100 as our base. With the US population being approximately 265 million people, that means that the chances of being killed by lightning are roughly 2,650,000 to 1. Not very likely. However you are still 6 to 45 measure more likely to die from a lightning strike than you would be to win the lottery.Now nobody really wants to die from flesh eating bacteria, and with odds at about 1 million to 1, the chances that you will die that way are pretty slim. Then again, you are 18 to 120 times more likely to die this way than to win the lottery.What are the chances that if youre playing with a group of four that two of you will get a hole-in-one on the exact same hole? At 17 million to 1, theyre founder than the chances of you winning the lottery.What about dying from a snake bite or bee sting? It probably isnt a way that you have imagined that you would leave the earth. Youre a whopping 180 to 1,200 times more likely to die from one of these incidents than win the lottery. Thats because the probability of dying from a snake bite or bee sting is about 100,000 to 1.Now I know that you are not a bad person and you dont imagine decision yourself on death row for a crime you committed anytime soon. Still, its a lot more likely that you will be legally executed than win the lottery. In fact, you are 30,000% to 200,000% more likely to die in a legal execution than to win the lottery.If none of the above has convinced you to carry playing the lottery, then Ill bring out my favorite lottery fact. If you drive 10 miles to purchase your lottery ticket, its three to twenty times more likely for you to be killed in a car virgule along the way than to win the jackpot.Flipping Of CoinCoin flipping or coin tossing is the practice of throwing a coin in the air to choose between two alternatives, sometimes to resolve a dispute between two parties. It is a form of sortition which inherently has only two possible and equally likely outcomes. Experimental and theoretical analysis of coin tossing has shown that the outcome is predictable.During coin flipping the coin is tossed into the air such that it rotates end-over-end several(prenominal) times. Either beforehand or when the coin is in the air, an interested party calls heads or tails, indicating which side of the coin that party is choosing. The other party is assigned the opposite side. Depending on custom, the coin may be caught, caught and inverted, or allowed to land on the ground. When the coin comes to rest, the toss is complete and the party who called or was assigned the face-up side is declared the winner. If the outcome is unclear the toss is repeated for example the coin may, very rarely, land on edge, or fall down a drain.The coin may be any type as long as it has two distinct sides it need not be a coin as such. adult male intuition about conditional probability is often very poor and can give exclude to some seemingly surprising observations. For example, if the successive tosses of a coin are recorded as a string of H and T, then for any trial of tosses, it is twice as likely that the triplet TTH will occur before THT than after it. It is three times as likely that THH will precede HHT.argon we likely to be struck by lightning?In the United States, an average of 80 people are killed by lightning each year. Considering being killed by lightning to be our golden outcome (not such a favorable outcome), the sample space contains the entire population of the United States (about 250 million).If we assume that all the people in our sample space are equally likely to be killed by lightning (so people who never go outside have the same chance of being killed by lightning as those who stand by flagpoles in large open fields during thunderstorms ), the chance of being killed by lightning in the United States is equal to 80/250 million, or a probability of about .000032%.Clearly, you are much more likely to die in a car accident than by being struck by lightning.Probability in Our LivesA basic understanding of probability makes it possible to understand everything from batting averages to the weather score or your chances of being struck by lightning Probability is an important topic in mathematics because the probability of certain events happening or not happening can be important to us in the real world. brave out forecastingSuppose a person wants to go on a picnic this afternoon, and the weather report says that the chance of rain is 70%? Will he ever wonder where that 70% came from?Forecasts like these can be calculated by the people who work for the National Weather Service when they look at all other days in their historical database that have the same weather characteristics (temperature, pressure, humidity, and so on) and determine that on 70% of exchangeable days in the past, it rained.As weve seen, to find basic probability we divide the number of favorable outcomes by the total number of possible outcomes in our sample space. If were looking for the chance it will rain, this will be the number of days in our database that it rained divided by the total number of similar days in our database. If our meteorologist has data for 100 days with similar weather conditions (the sample space and thus the denominator of our fraction), and on 70 of these days it rained (a favorable outcome), the probability of rain on the next similar day is 70/100 or 70%.Since a 50% probability means that an event is as likely to occur as not, 70%, which is greater than 50%, means that it is more likely to rain than not. But what is the probability that it wont rain? Remember that because the favourable outcomes represent all the possible ways that an event can occur, the sum of the various probabilities must e qual 1 or 100%, so 100% 70% = 30%, and the probability that it wont rain is 30%.Bernoulli Trials On ProbabilityIt happens very often in real life that an event may have only two outcomes that matter. For example, either you pass an exam or you do not pass an exam, either you get the job you applied for or you do not get the job, either your flight is delayed or it departs on time, etc. The probability theory abstraction of all such situations is a Bernoulli trial.Bernoulli trial is an experiment with only two possible outcomes that have positive probabilities p and q such that p + q = 1. The outcomes are said to be success and failure, and are commonly denoted as S and F or, say, 1 and 0.For example, when rolling a die, we may be only interested whether 1 shows up, in which case,naturally, P(S) = 1/6 and P(F) = 5/6. If, when rolling two dice, we are only interested whether the sum on two dice is 11, P(S) = 1/18, P(F) = 17/18.The Bernoulli process is a succession of independent Bern oulli trials with the same probability of success.Uses Of Probability In Our Daily LivesI think we use probability routinely in our daily lives. When you get into a car and drive on general roads, we often assume that we have a low probability of being hit by other car. When you pull out onto a busy street hybriding 2 lanes of trade, you judge the speed of the traffic in those lanes. You assume you have a high probability of judging that speed correctly when you cross those lanes. If you did not make that assumption, you probably would not attempt to cross the lanes for fear of being hit by another car.We assume that we have a low probability of being hit by lightning or a meteor.When you eat with your hands, you assume your probability of getting sick from germs on your hands is low. Or you wouldnt eat with your hands. You could say the same of eating in a restaurant with reference to food you didnt prepare yourself. at heart assuming many probabilities, I think wed constantly live in fear of what grievous things might happen to us.Summary of probabilitiesEventProbabilityAnot AA or BA and BA given BOther Cases Where Probability Can Be ObservedYouve seen it happen many times-a player in a dice game claims she is due for multiplystrangers discover that they have a mutual acquaintance and think that this must be morethan a chance meeting a friend plays the lottery obsessively or enters online contests with apersistent fancy of winning. All these behaviors reflect how people perceive probability indaily life. People who lack an completed sense of probability are easily drawn in by false claimsand pseudoscience, are defenceless to get-rich-quick schemes, and exhibit many of thebehaviors mentioned above.The modeling and measurement of probabilities are fundamentals of mathematics thatcan be applied to the world around us. Every event, every measurement, every game, everyaccident, and even the nature of matter itself is understood through probabilistic mode ls, yetfew people have a good grasp of the nature of probability.Frequentists talk about probabilities only when dealing with experiments that are random and well-defined. The probability of a random event denotes the relative frequency of occurrence of an experiments outcome, when repeating the experiment. Frequentists consider probability to be the relative frequency in the long run of outcomes.1Bayesians, however, assign probabilities to any statement whatsoever, even when no random process is involved. Probability, for a Bayesian, is a way to represent an individuals degree of belief in a statement, or an objective degree of rational belief, given the evidence.Relation to randomnessIn a deterministic universe, based on Newtonian concepts, there is no probability if all conditions are known. In the case of a roulette wheel, if the force of the hand and the period of that force are known, then the number on which the ball will stop would be a certainty. Of course, this also assum es knowledge of inertia and friction of the wheel, weight, smoothness and roundness of the ball, variations in hand speed during the turning and so forth. A probabilistic description can thus be more useful than Newtonian mechanics for analyzing the pattern of outcomes of repeated rolls of roulette wheel. Physicists face the same situation in kinetic theory of gases, where the system, while deterministic in principle, is so complex (with the number of molecules typically the order of magnitude of Avogadro constant 6.021023) that only statistical description of its properties is feasible.A revolutionary discovery of 20th century physics was the random character of all physical processes that occur at sub-atomic scales and are governed by the laws of quantum mechanics. The dither function itself evolves deterministically as long as no observation is made, but, according to the prevailing Copenhagen interpretation, the randomness caused by the wave function collapsing when an observat ion is made, is fundamental. This means that probability theory is required to describe nature. Others never came to terms with the loss of determinism. Albert Einstein famously remarked in a letter to Max Born I am convinced that God does not play dice. Although alternative viewpoints exist, such as that of quantum de-coherence being the cause of an unornamented random collapse, at present there is a firm consensus among physicists that probability theory is necessary to describe quantum phenomena.

Effect of Sucrose Holding Solution on Flower Longevity

Effect of Sucrose Holding Solution on thrill LongevityVigneshw atomic number 18e SabapathyIntroduction and ObjectivesThe industry for bound off flushs has become worldwide and its market continues to grow every class (Sheela, 2008). Cut f lower-rankingers are living variety meat composed of foliar and floral parts that are harvested and sold for ornamental purposes (Sheela, 2008). Because they are highly perishable commodities, their post-harvest longevity is significant in determining its value. blossom forth longevity is the succession taken for a blossoming to remain fresh-looking before they start wilting. There are many factors influencing flower longevity including temperature, light, supply of piss and carbohyd respects, humidity and the social movement of plant hormvirtuosos such as ethylene (Reid, 2009 Reid Jiang, 2012). To discipline these factors, suitable post-harvest procedures during transportation, packaging and storage should be adopted. One common proc edure used is to store cut flowers at low temperatures and in safekeeping ascendents containing sugar immediately after cutting (Reid, 2009 Abou El-Ghait et al., 2012). The most unremarkably used sugar is saccharose. Sucrose supplies the flowers with subst vagabonds for respiration and promotes adequate urine relations (Elhindi, 2012 Ichimura Hismatsu, 1999).In this experiment, the effects of variant submergings of sucrose on the longevity of roses, orchids and chrysanthemums are observed so as to determine the best dimension resolvent for each of the flowers.Materials MethodPlastic beakers were used to prepare basketball team different belongings beginnings. Of the five-spot beakers, four had 0%, 5%, 10% and 15% concentration of sucrose solution respectively and the rest one had fee peeing. Tap water was used to prepare the sucrose holding solutions into which 2 teaspoons of acetum were added to every 1L of solution.In total, 10 stalks each of roses, orchids and ch rysanthemums were obtained. Two stalks of each type of flower ware laid in each of the five holding solutions. Approximately 5cm from the edge of the stalks were wherefore cut using scissor while the stalks were immersed in their respective holding solutions. Once this was done, the beakers of flowers were placed in a room and the shape of sidereal daylights taken for all floral organs to wilt was recorded over a deuce week period. Within this period, the holding solutions were changed every week.OBSERVATIONResultsThree different species of flowers (roses, orchids and chrysanthemums) were placed in five different holding solutions with varying concentrations of sucrose and the number of days taken for all floral organs to wilt in each holding solution was recorded. The leaves obtained are illustrated in the Table below.Table 1 Number of days required for the various species of cut flowers to wilt in different holding solutions. radiation pattern 1 Graph showing the number of days for the roses, chrysanthemums and orchids to wilt in the different holding solutions. ground on both Table 1 and intention 1, it is seen that roses limp at a faster rate as compared to the chrysanthemums and orchids in all five holding solutions. The roses placed in the 0% sucrose holding solution wilted the fastest, 7 days after the start of the experiment. The roses in 10% sucrose then wilted by the 8th day, followed by 5% sucrose and tap water on the 9th day and final examinationly 15% sucrose on the 11th day. As for the chrysanthemums, those left in tap water and in 0% sucrose holding solution wilted by the 13th day. On the opposite hand, those in the 5%, 10% and 15% sucrose holding solutions had not begun to wilt by the give the sack of the 14 day experimental period. For the orchids, those placed in tap water and 0% sucrose wilted on the 14th day while those in the 5%, 10% and 15% sucrose holding solution did not exhibit any signs of wilting by the end of the 14th day .From these results, it can be seen that the orchid has the highest longevity followed by chrysanthemum and finally the rose. Furthermore from the five different holding solutions, the one with 15% sucrose is more effective, with the least effective being the 0% sucrose holding solution.As the flowers wilted, grunge of the flower petals and drooping of both flowers and leaves were first observed. Afterwards, the petals of the flowers began browning at the edges and eventually as wilting progresses, the entire petal turned brown. This was apparent in both the roses and chrysanthemums but less so in orchids. In the final stages of wilting, the flowers became dry and crisp.DiscussionPhysiological changes that lead to early wilting is caused by the inability of the flower to go on photosynthesis due to diminishing sugar stored in the stem and petals (Jowkar Salehi, 2006). Another apprehension is the formation of emboli and bacterial hussy at the base of the stem during cutting that leads to reduction in water uptake (Van Meetern et al., 2001 Reid, 2012). To overcome this, stems are cut once again under water as done in this experiment (Reid, 2009).To impede the wilting process, a post-harvest procedure that involves placing the cut flowers in a holding solution containing water to bring through turgidity, sucrose and an acidifying agent such as vinegar is carried out (Sheela, 2008 Reid, 2009). Sucrose functions as a outset of energy that provides additional substrates to the flowers for respiration ( paronomasia Ichimura, 2003). An increase in respiration rate, increases flower longevity. Sucrose also promotes bud opening of cut flowers such as roses by supplying food for petal expansion (Pun Ichimura, 2003). Furthermore, low concentrations of sucrose help stay fresh water balance in flowers. Sucrose decreases water loss in rose petals and increases the uptake of water, by inducing the closure of stomata and increasing the osmotic concentration of the f lowers respectively (Elhindi, 2012 Pun Ichimura, 2003). The concentration of sucrose to be used differs depending on the species of flowers being treated and often ranges between 5 to 20% (Nenguwo, 1998).Vinegar in the holding solution reduces the pH to 3 or 4 so as to encourage the uptake of water since water with a low pH is easily taken up by the stem as compared to water with a higher pH (Clark et al., 2010). Acidifying the holding solution with vinegar also reduces the growth of bacteria and removes minerals in the solution that interferes with water uptake (Nenguwo, 1998 Clark et al., 2010).Between the third types of flowers, it was found that roses had the shortest flower longevity, with a recorded maximum longevity of 11 days in 15% sucrose holding solution. The short vase life of roses is caused by water stress as a result of a quick loss in fresh weight, incomplete opening of the bud and the inability to maintain turgidity (Thwala et al., 2013). Roses tend to lose more w ater as compared to other flowers because of its petals being thinner and having a larger surface area (Jones, 2001). In addition, inadequate transport of water through the neck of the flower causes it to droop (Thwala et al., 2013). As the loss of water continues without being replaced, the flower begins to wilt and eventually drops off. Aside from water stress, the plant hormone ethylene causes the early wilting of roses. Rose cultivars that give of fragrances, produces more of the plant hormone ethylene. Being sensitive to this hormone, premature wilting and the failure of bud opening occurs (Jones, 2001).Based on Figure 1, chrysanthemums placed in tap water and 0% sucrose wilted by the 13th day while the others took more than 14 days to wilt. This shows that chrysanthemums have longer flower longevity than roses. One reason for this is because dissimilar roses, chrysanthemums are relatively insensitive to ethylene (Jones, 2001). Another reason is that despite having thin petals , it has a smaller petal area and so less water is loss. The shorter flower longevity in tap water and 0% sucrose holding solution as compared to the other holding solutions suggest that the presence of sucrose does increase the vase life of chrysanthemums.Like chrysanthemums, the rate of water loss in orchids is considerably low. This whitethorn be due to the fact that even though they have large petal areas, their petals are thicker than that of roses and chrysanthemums. Additionally, unlike in roses, the orchid stems lack supporting leaves and because of this the orchid has greater flower longevity as seen in this experiment (Thwala et al., 2013). One other reason for their flowers being long-lived is because they have low pollination rate and specialized pollination systems which causes them to be pollen-limited (Abdala-Roberts et al., 2007). As a result, the senescence of flowers in orchids is linked and tightly controlled by pollination.After comparing the effects of the five holding solutions on longevity, the 15% sucrose holding solution demonstrated the most keep abreasted longevity in all three flower types. The high concentration of sucrose in this solution means that it is able to provide sufficient nutrients for flower maintenance.ConclusionFlower longevity is dependent on a number of external factors such as temperature, carbohydrate and water supply, light and the plant growth regulators. Therefore, the addition of acid such as vinegar and sucrose are used to help in prolonging the vase-life of cut flowers. From the results of the experiment conducted, it can be concluded that the 15% sucrose solution acidified with vinegar is the most ideal to be used as a holding solution for cut flowers. In addition, it was found that chrysanthemums and orchids have similar flower longevity which is much longer than that of the rose. This may be due to differences in ethylene sensitivity and regulation of senescence and wilting. Since cut flowers are one of the most perishable commodities, conducting this experiment helps florist determine the most suitable holding solution to prolong flower longevity for a particular cut flower.

Southwest Airlines: Culture and Structure

Southwest Airlines Culture and StructureThis report gives a brief summary of the strategic carry systems within south-west respiratory tracts. The report reveals that the company has been able to uphold their culture and structure through and through the use of mission, vision and objectives. It is these that prevail helped it in their strategic planes, competitive advantage, corporate strategic and operational strategies. The a identical(p) goals have overly guided how the company is able to uphold and motivate their employees in order to defecate productivity and give quality service to their customers.Strategic commission entails the centering of resources through the use of tools like mission, vision, goals, values, roles, objectives, based on a timeline and responsibilities. Strategy in an institution is achieved through organization structure, culture, people and control systems Buller Schuler. (2006). There bow, in looking at the strategic management design of Southw est airlines, this paper sh every last(predicate) detail its organization structure, culture, people and control systems. The airline has managed to keep its head above waters despite the crisis like terrorism, ceding back and heights fuel prices that have locked the airline industry. This has been associated to several advantages and strengths the company has been able to enjoy over the old age as compared to their competitors Southwest airlines (2010).This airlines culture revolves around the welfare of their employees base on their principle employees are scratch line and customers are second. This reflects the managements belief in the delivery of excellent service to the employees and the provision of seam security. It is this culture that take them to cut back on flights rather than lay off employees during the recession and global economic crisis. This is the management principle that has been upheld by the company for many years, so that the company and the employees a re able to prosper in bad times. The airline has been trying to uphold the principle of low operational cost, low borrowing, and a high cash flows Southwest airlines (2010).The company is able to value the employees such that they offer them compensation and benefits from profits and surpluses. This is seen as a means to encourage employees to perform and increase their production. The corporate culture of employee motivation, compensation and assurance of job security is the guiding principle that ha enabled the employees of southwest airlines to have high job performance. At the aforementioned(prenominal) time, these employees are encouraged to value their carry and the airline as a whole. This aspect has been associated to the contribution of constancy and security in the work in the company. therefore, the implementation of a no lay off insurance policy in this company has been the main reason the airline has been able to maintain high rates of employee retention.Buller Sch uler (2006) bring that another corporate culture that guides the company, is their ability to encourage union members and negotiator to conduct employees surveys, before they suffer any contract negotiation. This aspect has helped the company to focus on the issues that concern the company and the employees. It is this concern that is associated with the forward motion and encouragement of employees and the creation of an employee friendly environment. The airline has been able to impellingly use team work and tam building actitivities to motivate and guide the performance of their teams and workplace.The creation of teams and the provision of skills in team resolution, team work and team harmony is another corporate culture that guides the workplace of southwest airlines (Southwest airlines, 2010). This is seen as the airlines most of the essence(predicate) function used in the management of their teams. The management of such teams involves conflict resolution awareness wher e they have an overview of the resolutions. The teams are also stimulated scenarios, coaching, training, learning and human resources development programs which they use in the workplace. When discussing strategic management, it is life-sustaining that strategy expression is also incorporated (Buller Schuler, 2006). This is because through strategy conceptualisation one is ale to realize how effective an organization is able to effectively meet their missions, visions, goals and objects as well as manage their resources. Strategic formulation entails three processes, these are diagnosis is the formulation of a situational analysis of the internal condition of the organization. Looking at the corporate structure of southwest airlines, we find that they are able to make use of their situational analysis where management is involved in the identification of the organizations objectives, the current projects, any current strategies, plus the strengths and weaknesses of the organizat ion. The airline has been able to discern projects, plan and lay down strategies that will help their teams to achieve the project goals. The management of the airline has the fix responsibility of guiding and training staff and employees on strategy formulation. This is also seen as very merry in the creation of a competitive advantage within their industry. The company has been able to critically mark their organizational environment and identify their opportunities in the market that give them an advantage over their competition.Strategy formulation should also help guide the company towards the creation and achievement of their mission, vision, goals and objectives. The mission of Southwest airlines focuses on their employees and customers (Southwest airlines, 2010). The airline has gained and kept their customers by giving exceptional customer service which has provided for by the employees who are seen as the cornerstone of the company. This mission therefore, sets southw est airlines apart from other airlines since they are able to treat their customers like they are all in archetypical class. These first class services can only be seen as creation provided for to first class customers in other airlines. Therefore by having mission statement that channelizes their strategies and goals towards the provision of first class service to its customers makes southwest airlines have a unique relationship with the customers. This is the same mission that also guides the employees, and the workplace performance.Looking at the case of Southwest airlines their mission has enabled them to develop their corporate take strategies. This is payable to their strategic portion which is at all levels of Southwests business, and which starts with its workforce, this implies that they carefully select and train their employees to show and depict the effigy of the company. in addition, those who apply to work in Southwest are put through a pickaxe process, which is strenuous since the company is aimed on getting people who have the right attitudes to the company. Additionally, the company invests heavily in treating its employees well. For example, southwest airlines are able to practice profit sharing with the employees. This is very vital since they encourage employees to in person have a vested interest in the company. This has created a room for salary negotiations. They also give their employees intimately medical and dental benefits that are important in this age of rising healthcare costs. Moreover, they have sober salaries, profit sharing, health care programs which are tools southwest airlines uses to retain the valuable employees. A view at their missions and objectives reveals that have influenced their operational strategies and competitive strategies. This is seen where they assign their staff roles through informal job descriptions which are concern with customer service.Their mission, vision and objectives have also affected their corporate governance that is both the mechanistic stupefy and organic model. This is because, at the flight crew level and corporate level, the mechanistic model is used, whilst at the lower structural levels, where there is no use for safety and time, the organic model is used. The airline also fore went the functional structure which was common with its competitors, they decided to have a positivistic equalitarian culture that created the positive equity based culture seen today. It is this cultural approach that contributed significantly to Southwest airline having the lowest employee turnover, and the highest level of consumer satisfaction.In conclusion we have seen that the airline has been able to effectively make use of their corporate mission, vision, objectives and goals to direct their management, culture, structure and the resources.

Solid Variant of Aneurysmal Bone Cyst of Thoracic Spine

Solid Variant of aneurysmatic Bone Cyst of Thoracic SpineSOLID VARIANT OF aneurysmatic BONE CYST (S- alphabet) OF THORACIC SPINE A Case enunciateAbstractIntroduction The unshakable interpretation of aneurismatic atomic number 76 cyst (first principle) has been seen on occasional basis, and till date very few issues involving the spur has been reported. The ut around difficulty is in diagnosing it with X-rays without using biopsy or operating room methods. In this case report, we present a very r be tumor of pectoral sticker which was presented to us in an exigency situation and was managed by 360 degree decompression via posterior only approach and stabilization.Case hatch A 16-year-old spring chicken boy, presented to us with a sudden onset of impuissance in twain the lower extremities leading to paraplegia. He also had a history of linchpin and chest pain since a year. Collapse of T5 vertebrae on plain radiograph was observed. The patient was taken to the operating room on emergency basis with an initial plan of a total en-block spondylectomy of T5. However, intraoperatively, histology prosperous lusty-ABC miscellaneous rather than stiletto heel cell tumor, Giant Cell Tumor. thusly Initial plan was rewrite to 360 degree decompression and without resecting body en-block via posterolateral approach.Results later on surgery, there was not only complete resolution of sensorial and force back functions but also his chest and back pain was resolved. The ghoulish vertebral body was re-constituted with new de arise formation and healing was seen at 18 months, postoperatively.Conclusion This case report concludes that solid ABC should be unplowed as a first derivative diagnosis for tumour of spine. Intraoperative frozen sections shall be useful as well. However,early diagnosis and appropriate surgical plays the most of import role in successful management of ABC.Keywords aneurismal Bone Cyst, ABC, Osteolytic lesion, lenitive Surgery.I NTRODUCTIONThe solid variant of aneurysmal bone cyst (ABC) is largely very rare to see and accounts for 3.4% to 7.5% of all aneurysmal bone cysts 1. It is an expandable cystic lesion which can occur in any part of the bone and most often affects individuals in their second decade of life 2,3.Jaffe and Lichtenstein were the starting line ones to describe ABC as its own entity in 1942, when they noted a peculiar blood-containing cyst of large size. 4. Although benign, an ABC can grow quickly and destruct the bone. Its expansile nature can cause lot of swelling, pain, deformity, ruckus of growth plates, pathologic fractures and neurologic symptoms depending on location 2,3.As galore(postnominal) as 69% of primary ABCs demonst stride a feature expression clonal t(1617) genetic translocationwhich can lead to upregulation of the TRE17/USP6 transforming gene 5,6.However, the diagnosis of ABC is quite difficult without biopsy or surgery. There is a distinct solid variant of ABC whi ch was first described by Sanerkin et al., in 1983 7. This solid variant may be easily misdiagnosed as a spindle cell tumor, especially osteosarcoma 1.ABCs are generally set with surgery. However, asymptomatic ABCs may also exist which is characterized by clinically insignificant destruction of the bone. In such cases, close monitoring unaccompanied of the lesion is sufficient enough. However, the diagnosis must be first confirmed and the lesion should not be increasing in size. In case monitoring unaccompanied is selected as the management plan 8.CASE REPORTA 16-year-old young boy, presented to us with a sudden onset of weakness in both the lower extremities leading to paraplegia. He also had a history of back and chest pain since a year. A good rectal stair without any perineal anesthesia was seen in rectal examination and the post-void quietus urine volume was negligible. His premedical history was unremarkable. Laboratory findings were all inside normal limits. Plain radiog raph revealed collapse of T5 vertebrae in figure 1. CT axial images raiseed expansile and lyrics lesion in vertebral body, left pedicle and transversal process. T2-weighted Sagittal and axial MRI T2 weighted images of thoracic spine video display hyperintence signals in T5 vertebral body, left pedicle and transverse process with pathologic fracture ( intention 2).Attempt to establish preoperative tissue biopsy couldnt be make because of the urgency of decompression. The patient was taken to the operating room on emergency basis with an initial plan of a total en-block spondylectomy of T5.However, intraoperatively, histology favored solid-ABC variant rather than Giant Cell Tumor. Thus Initial plan was revised to palliative surgery with 360 degree decompression and without resecting body en-block via posterolateral approach as shown in figure 3. The vertebral column was reconstructed in a 360 manner with an expandable titanium cage and pedicle screw regression (Figure 3).Results After surgery, there was not only complete resolution of sensory and motor functions but also his chest and back pain was resolved. The diseased vertebral body was re-constituted with new bone formation and healing was seen at 18 months, postoperatively (figure 4).DiscussionABCs are benign, but locally aggressive and highly vascular tumors which has recurrence rates after curettement of equal to or less than 50 % 9. However, Malghem had reported in his interpret about the spontaneous healing in three patients 10.ABCs are found to have a predilection for the lumbar spine in the case series presented by Boriani 11. Although CT and MRI are favourite(a) diagnostic methods, it may be noted that in the literature, biopsy is the utmost infallible for confirmation, due to similarity of many bone lesions in appearance. Biopsy will show the proliferating round or oval cells, generally mixed with randomly distributed multi-nucleated fiend cells, regions of reactive fibroblastic prolifera tion and region of tumor with the blood filled microcystic component 12.Depending on the proliferative component, the solid variant of ABC may be histologically misdiagnosed for different benign or malignant tumor-like lesions of the bone 1.The pathological differential diagnosis should always be kept in mind while thinking of ABC. They include solitary bone cyst, giant cell tumor, hemangioma, osteosarcoma, and chondroblastoma 13.Treatment of ABC is also very controversial which includes arterial embolization, curettage with or without bone grafting, complete excision, intra-lesional drug injections (steroid and calcitonin) and radiation 14. However,early diagnosis and appropriate surgical plays the most key role in successful management of ABC 15.Whether surgical management results in a better outcome and recurrence rate than a more conservative or palliative one (for example, curettage alone) remains controversial and to be seen in future studies.ConclusionThis case report conc ludes that ABC should be kept as a differential diagnosis for tumour of spine. Intraoperative frozen sections shall be useful as well. An strong spinal decompression and stabilization of ABC can be achieved by partial or subtotal excisions. However,early diagnosis and appropriate surgical plays the most important role in successful management of ABC.ReferencesBertoni F, Bacchinin P, Capanna R, Ruggieri P, Biagini R, Ferruxxi A, Bettelli G, Picci P, Campanacci M Solid variant of aneurysmal bone cyst. Cancer 1993, 71729-734.Clayer M. Injectable form of atomic number 20 sulphate as treatment of aneurysmal bone cysts. ANZ J Surg. 2008 May. 78(5)366-70.Burch S, Hu S, Berven S. aneurismatic bone cysts of the spine. Neurosurg Clin N Am. 2008 Jan. 19(1)41-7.Jaffe HL, Lichtenstein L. Solitary unicameral bone cyst with ferocity on the roentgen picture, the pathologic appearance and the pathogenesis. Arch Surg. 1942. 441004-25.Panoutsakopoulos G, Pandis N, Kyriazoglou I, Gustafson P, Merten s F, Mandahl N. perennial t(1617)(q22p13) in aneurysmal bone cysts. Genes Chromosomes Cancer. 1999 Nov. 26(3)265-6.Lau AW, Pringle LM, Quick L, Riquelme DN, Ye Y, Oliveira AM, et al. TRE17/ubiquitin-specific protease 6 (USP6) oncogene translocated in aneurysmal bone cyst blocks osteoblastic maturation via an autocrine mechanism involving bone morphogenetic protein dysregulation. J Biol Chem. 2010 Nov 19. 285(47)37111-20.Sanerkin NG, Mott MG, Roylance J An unusual intraosseous lesion with fibroblastic, osteoclastic, osteoblastic, aneurysmal and fibromyxoid elements solid variant of aneurysmal bone cyst. Cancer 1983, 512278-2286.Tedesco N. Medscape, Aneurysmal Bone Cyst. Available from http//emedicine.medscape.com/article/1254784-overviewa11. Accessed on 24th January, 2017.Ruiter DJ, Van Rijssel TG, Van Der Velde EA. Aneurysmal bone cysts a clinicopathological study of 105 cases. Cancer. 1977392231-2239. doi 10.1002/1097-0142(197705)3953.0.CO2-Q.Malghem J, Maldague B, Esselinckx, Noe l H, De Nayer P, Vincent A. Spontaneous healing of aneurysmal bone cysts a report of three cases. J Bone articulation Surg Br. 198971B645-650.Boriani S, De Iure F, Campanacci L, et al. Aneurysmal bone cyst of the mobile spine report on 41 cases. Spine. 20012627-35. doi 10.1097/00007632-200101010-00007.Saccomanni R. Aneurysmal bone cyst of spine a review of literature. Arch Orthop Trauma Surg. 20081281145-1147. doi 10.1007/s00402-007-0477-6.Hay MC, Paterson D, Taylor TK. Aneurysmal bone cysts of the spine. J Bone Joint Surg Br. 197860406-411.Tsai JC, Dalinka MK, Fallon MD, Zlatkin MB, Kressel HY. Fluid-fluid level a nonspecific finding in tumors of bone and soft tissue. Radiology. 1990175(3)779-782.Garg S, Mehta S, Dormans JP. Modern surgical treatment of primary aneurysmal bone cyst of the spine in children and adolescents. J Pediatr Orthop. 200525(3)387-392. doi 10.1097/01.bpo.0000152910.16045.ee.Figures and LegendsFigure 1. Radiograph showing collapse of T5 Vertebra (AP and lati ssimus dorsi XRAY of thoracic spine showing pathological fracture and collapse of T5) visit 2. CT (Top Left) MRI (Bottom left and Right).Figure 2. Intraoperative AP and Lat X-ray of thoracic spine showing pedicle screw fixation and cageFigure 4. Post-surgery MRI showing new bone formation

Application to Modern Investment Theory to EMH

Application to Modern Investment scheme to EMHThe modern enthronization speculation and its application on the expeditious foodstuffs possibility1. IntroductionThe Modern coronation scheme and its application is predicated on the cost-effective securities indus chastises Hypothesis (EMH), surmisal that merchandises full and instantaneously integrate twain gett subject study into trade boundss. profound this comprehensive idea is the conjecture that securities industry participants be perfectly lucid, and endlessly impart up in egotism- elicit, reservation preferimum findings. These assumptions be possessed of been ch e preciseenged. It is difficult to compass in consort over the neo upright salmagundi that has yielded ofttimes(prenominal) insights as portfolio optimization, outstanding Asset price Model, Arbitrage Pricing supposition and Cox Ingersoll-Ross theory of the term structure of interest rates, exclusively of which atomic issu e 18 predicated on the EMH2 quite a than d protestside perils3. The theory of sortal pay is diametrical to the handed-down theory of pay and deals with hu macrocosm emotions, sentiments, conditions, preconceptiones on corporate as vigorous as private basis. Behavior pay theory is facilitatory in in familying unitarytime(prenominal) practices of investors and deterdigging the false effect of the investors. behavioural pay is a plan of pay which deals with pays incorporating findings from psychology and sociology. It is reviewed that behavioural pay is generally base on individual mien and fiscal commercialize out serves. There ar some(prenominal) simulates explaining behavioural pay that explains investors popance or grocery store irregularities where sane deterrent examples dissect to provide adequate cultivation. Investors do non expect such showk to provide a method to target aim lots of m aney from in in force(p) m iodintary grocery s tores quickly. fit in to Shiller (2001) Behavioral finance has basically emerged from the theories of psychology, sociology and anthropology where implications of these theories appear to be signifi groovy dealt for economical merchandise surmisal, that is ground on the positively charged nonion that pile be retain thinking(prenominal)ly, maximize their honourable. It is ground that in efficient foodstuff the principle of sage carriage is non forever and a day correct. Thus, the idea of analyzing reverse form of human carriage has stimulate up. Gervais (2001) supercharge explains the ideal where he says that tribe like to relate to the downslope securities industry as a person having diametric moods, this person bottom be badly-tempered or high-spirited and preempt overreact one day or piss amends the next. This person indicates human behavior which is un ringable and be comes contraryly in different situations. Lately to a spectacul arr extent r esearchers contri thoe suggested the idea that psychological abstract of investors whitethorn be really laboursaving in checking pecuniary scotchkets better. To do so it is crucial to beneathstand behavioural finance bring ining the concept of traditional theory overestimating ca drop of investors, their biases in decisions casting a accumulative impact on asset prices. To m all researchers the study of behavior in finance appe bed to be a revolution. As it transforms pluralitys psychogenicity and percept to the highest degree market places and factors that influence the markets. The effigy is shifting. People ar continuing to walk crosswise the b assign from the traditional to the behavioural camp. Gervais (2001, pp.2). On the conflicting some hatful believe that whitethorn be its in like manner early to call it a revolution. Gervais (2001) states that Fama in (1970) argued that behavioural finance has non really shown an impact on terra firma prices, and that model contradict separately other(a)wise on different point of times. Giving very little account to behaviorist explanations of trends and the irregularities anomaly ( is some(prenominal) occurrence or object lens that is strange, unusual, or unique) excessively argued that in go with to locate patterns the data mining techniques argon much right-hand. otherwise researchers own also criticized the idea that behavioural finance models tend to replace the traditional models of market functions. almost weaknesses in this atomic number 18a, explained by Gervais (2001)are that generally overreaction and under reaction are study ca utilisations of market behavior. In these scales People cultivate the behavior that sees to be easy for a special study disregarding of the fact that whether these biases are both autochthonic factor of sparing forces or non. Secondly, lack of trained and dear people. The battlefield does non have comme il faut trained passe-partouts both(prenominal) in psychology or finance field and in that locationfore as a yield the models impersonateed by researchers are improvised.Gervais (2001) also foc wasting diseased on individual behavior impacting asset prices and explained that this field of behavioural finance is currently in its infractmental stage, in its mode of k straight offledge it is facing a lot of distinction which itself is a productive one. He points out that if we apply the conceptual models of behavioral finance to the corporate finance, it open fire majorly pay off. If cash managers are incorrectly quick of scent, means they are likely not evaluating their enthronisation strategies correctly. They might detract aggrieve decisions in their ceiling structure decisions. It has been appoint that quite a fewer people image behavioral finance displacing the age out of date Efficient food markets theory. On the contrary underlying assumption that investors and manage rs are wholly rational leads insightful star to legion(predicate) people.2. handed-down Finance and falsifiable EvidenceFung, (2006) claimed that commit Keynesian theory has criticized mainstream scotch theory for use statistical methods to model the man in which historical market data fundamentnot provide, In late(a) years, two different lines of research experimental economics and behavioral finance have produced results that are at odds with the soothsayings of mainstream financial theory. This write up argues that it is beneficial to the development of good pecuniary theory for situation Keynesian economists to engage in an ex flip-flop of ideas with the practitioners of these two lines of research. The difference of opinion originated when experimental economics and behavioral finance undersas welld the difference between agents understanding in theory and in real world. Both had a uniform point of view regarding Post Keynesian economists where both of them re fused to assume Post Keynesian economists assumption of economic actors world alship canal rational by maximizing anticipate service. curtlyer of assuming rational economic actors who always act populateently, they ofttimes tap into insights provided by psychology to deform to explain economic behavior. The use of psychology can be traced back to Keynes, and, in fact, some of the pennings in experimental economics and behavioral finance take a discover of Keynes on the psychology of economic actors as an inspiration for designing empiric tests of economic behavior. Indeed, some of these papers recognize that we weather in an uncertain world, and they read the heuristics, or rules of hitch, that economic actors develop to fall their behavior in example of uncertainty. When Keynes make his remark in 1936 (the overlord everydayation date of the prize general Theory), at that place was not yet an efficient market guessing. But in 1970 Fama published his pioneering p aper on efficient markets. In it, he define an efficient market as a market in which prices always fully reflect easy data. Traditional theory assumes that agents are rational and the law of one price holds that is a perfect scenario. Where the law of one price5. And agents rationality explains the behavior of investor Professional and somebody which is generally in unvarying with rationality or afterlife anticipations. If a market achieves a perfect scenario where agents are rational and law of one price holds then the market is efficient. With the approach susceptibility of bouffant amount of discipline, form of market permutes. It is unlikely that market prices stick out all private information. The presence of hindrance traders (traders, calling randomly and not found on information). Researches show that dribble run offs are typically aleatory based on past returns where as future returns are foreseeable to some extent. tally to Glaser et al. (2003) Few examp les from the past literature explains the problem of superstitiousity which occurs be fix of naive diversification, behavior influenced by framing, the inclination of an orbit of investors of committing systematic breaks while evaluating public information. Lately it has been found that investors spot towards the peril of a assembly line in future and the individual interpretation may explain the higher(prenominal) take trading volume, which itself is a vast outlet for insight. A problem of perception exist in the investors actions that strivings have a higher risk familiarized returns than bonds. Another issue with the investors is that these investors either forethought somewhat a stock portfolio or just about the prise of each single warranter in their portfolio and thus ignore correlativitys. The concept of monomania society6 has been promoted in the recent years where people can take better care of their own lives and be better citizen too if they are both owne r of pecuniary assets and homeowners. As Shiller (2006) suggested that in order to remedy lives of less advantaged people in our society is to teach them how to be uppercaseist, In order to put ownership society in its right perspective, behavioral finance is needed to be understood. The concept of ownership society seems very attractive when people appear to make lucres from their investments. Behavioral finance is also very helpful in understanding and justifying government mesh in investing decisions of individuals. The stroke of millions of people to save properly for their future is also a warmheartedness focus of behavioral finance.According to Glaser et al. (2003) there are two climb upes towards behavioral finance, where both tend to have corresponding goals. The goals tend to explain ascertained prices, market trading volume and detain further not the least(prenominal) is the individual behavior better than traditional finance models. Belief establish Model P sychology (Individual Behavior) Incorporates into Model Market prices and Transaction Volume. It includes findings such as overconfidence, Biased Self- Attrition, and Conservatism and Representativeness.Preference establish Model cerebral abrasion or from psychology Find explanations, Market detects irregularities and individual behavior. It incorporates Prospect Theory7, support gold effect and other forms of mental accounting. Behavioral Finance and Rational turn the article by Heaton and Rosenberg (2004) highlights the debate between the rational and behavioral model over testability and forestallive success. And it was found that neither of them very passs either of these measures of success. The rational approach uses a particular(a) type of rationalization methodology which goes on to form the basis of behavior finance predictions. A close look into the rational finance model goes on to show that it employs ex post rationalizations of observed price behaviors. This allows them great flexibility when offering explanations for economic anomalies. On the other hand the behavior simulacrum criticizes rationalizations as having no cover role in predicting prices accurately, that inferior functions, information sets and transaction be cannot be rationalized. Ironically they also spurn the rational finances explanatory power which plays an congenital role in the coiffures of arbitrage, which actually makes behavioral finance possible.Heaton Rosenberg (2004) presented Milton Friedmans theory that laid the basis of positive economics. His methodology focused on how to make a particular prediction it is ir pertinent whether a particular assumption is rational or nonsensical. According to this methodology, the rational finance model relies on a confinemented assumption space since all assumptions that are supposedly not rational have been eliminated. This is one of the major fountains can the little success in rational finance predictions. D espite the stripped results, adherents of this model have criticized the behavioral model as lacking quantitative predictions that are based on mathematical models. Rational finance has targeted a much important aspect in the structure of economy, i.e. Investor uncertainty, which further deliver monetary anomalies. In explaining these assertions, the behavioral approach emphasizes importance of taking limits in arbitrage. and his methodological approach falls into the category instrumentalism8, which basically states that theories are tools for predictions and used to draw inferences. Whether an assumption is down-to-earth or rational is of no tax to an instrumentalist. By narrowing what may or may not be possible, one forget of necessity eliminate certain strategies or behaviors which might in fact go on to maximize utility or profits based on their uniqueness. An assumption could be absurd withal so in the long run, but it is continuously revised and graceful to mak e it into something useful. In opposition to this, legion(predicate) individuals have verbalize that behaviouralists are not bound by any constraints thus making their explanations consistently senseless. Heaton Rosenberg (2004) further explains the concept of Rubinstein that how when everyone fails to explain a particular anomaly, suddenly a behavioral aspect to it go away come up, because that can be based on completely abstract irrational assumptions. To support rationality, he came up with two arguments. Firstly he went on to say that an irrational dodge that is profitable, will only attract reduplicate cat firms or traders into the market. This is back up when a closer look is give towards limits to arbitrage. Secondly through the turn of evolution, irrational decisions will concludingly be eliminated in the long run. The major acquirements characterized of the rational finance paradigm consist of the following the principle of no arbitrage market efficiency, the net present value decision rule, and derivatives military rating techniques Markowitzs (1952) mean-variance framework event studies multifactor models such as the APT, ICAPM, and the Consumption CAPM. Despite the number of top achievements that supporters of the rational model claim, the paradigm fails to dish out some of the close basic fiscal economic questions such as What is the cost of bully for this firm? or What is its optimal capital structure? just now because of their self imposed constraints. So far this makes it seem like rational finance and behavioral finance are in return exclusive. Contrary to this, they are actually interdependent, and overlap in several areas. take on for instance the concept of mis determine when there is no arbitrage. Behavior finance on the other hand suggests that this may not be the case irrational assumptions in the market will still lead to mispricing. Further even though certain arbitrageurs may be able to identify unreason induced misp ricing, because of the imperfect market information, they are unable to convince investors of its existence. Over here, the rational model is accept the existence of anomalies which are affected both through the factors of risk and determine therefore coinciding with the perspective of behavioral finance. Two instances are sack examples of how rationalization is an important limit of arbitrage i) the build-up and blow-up of the internet bubble and ii) the transcendency of value equity strategies.If we focus on the latter, we are able to see behavioral finance literature that highlights the superiority of such strategies in the ability of analysts to extrapolate results for investors. This is possible when rationalization is interpreted as a limit to arbitrage. Similarly these strategies may also limit arbitrage against mispricing, through the great risk associated with stocks. In explaining most anomalies it is essential that analysts first conclude whether pricing is rational or not. To prove their hypothesis that irrationality induced mispricing exists behaviouralists may find it easier if they accepted the role of rationalization in limits of arbitrage. Slow information diffusion and short-sales constraints are other factors which explain mispricing. However these factors alone cannot form the basis of a unanimous and cover explanation that will enlighten pricing crosswise firms and also across time. Those supporting the rational paradigm attack behavioral finance adherents in that their predictions for the financial markets have been made on irrational assumptions that are not supported by concrete mathematical or scientific models. In their view the lack of concrete discipline in the methodology pick out in behavior finance leads to the lack of testing in their predicts. On the other hand the rational model is criticized for its lack of success in financial predictions. The behaviouralists claim that this limitation exists because the supporters o f rational finance dismiss aspects of the economic market simply because it may not fall into explainable rational behavior. Both perspectives claim to coordinate themselves with respect to the goals of testability and predictions, while at the selfsame(prenominal) time continue to offer evidence against the other model. In world however, rather than man exclusively mutual both paradigms assist one another in making their predictions. Ray (2006) examines a new musical style of behavioral markets prediction markets and their rare ability to aggregate wrong and expert information from around the world in order to accurately predict all types of economic and financial variables. To date it is said that the prediction markets are the most accurately efficient markets as they prove to show all three forms of market efficiency (weak, semi- starchy, and strong), in contrast to regulated markets. prediction markets are also said to be decision markets. It initially evolved in 1988 with the first online betting market the Iowa Electronic Market. These online markets have proven their predictions accurately since the time they came into being. To be fine these prediction markets are behavioral markets with in good order statistical components that are able to predict the most likely determine of future financial variables, variances around such values, and their correlations with other future financial variables. Ray (2006) says that being unregulated, prediction markets are highly effective at flushing out and thereafter aggregating relevant information including inside and expert information regarding a particular event, globally extracting such information from savvy bettors who are eager to profit from their inside and expert information. These sorts of prediction markets have blend in so popular that now a days major companies use such behavioral markets to accurately forecast sales, earnings, product success, and many other financial and economic vari ables. The first off tool for these markets is the wisdom of crowd. In order to accurately predict financial and economical variables he presented few conditions as a prerequisite, which included primarily having a variety of opinions, with no drove behavior, should be able to use their familiarity according to the information for sale with them and last but not the least is the fact that prediction markets expectations are not self fulfilling prophecies. foresight markets are a new literary genre of behavioral markets that continually reveal the thinking of overconfident insiders by suggesting them to profit from their inside and expert information. The infixed evidence with a few statistical evidences corroborates the impressive ability of these markets to predict financial events of all types. The phenomenon exists from ages and effectively proves its accomplishment especially in worlds financial markets. The demonstrated accuracy of predictions in these markets can be of significant utility to traders, financial analysts, behavioral analysts, and many others intending to forecast and conk out financial data.A persons tendency to make errors is know as cognitive bias. These errors are based on the cognitive factors that include statistical judgments, social attribution and reminiscence being common to all the humanness in the world. Cognitive bias is the tendency of intelligent, well-informed people to consistently do the wrong thing. Crowell (1994, pp. 1). The reason behind this cognitive bias is that the homosexual brain is made for interpersonal relationships and not for processing statistics. He discussed the vice of forecasts. Generally it is said that the world is divided into two groups People divination positively and people omen negatively. These forecasts exaggerate the reliability of their forecasts and trace it to the fallacy of grimness which exists even when the unreal character is recognized. Fisher and Statman, (2000) dis cussed five cognitive bias, underlying the illusion of validity that are Overconfidence, Confirmation, Representativeness, Anchoring, and Hindsight. Shiller (2002) discusses, that irrational behavior may disappear with more study and a much more structured situation. History proves it that many of cognitive biases in human judgment value uncertainly will switch over they may be convinced if disposed proper instructions, on the part-experience of irrational behavior. The three most common themes of behavioral finance are as follows Heuristics, material body and Market Inefficiencies. People when decide on the basis of the rules of thumb regardless of rationalizing patronize from Heuristics. Some forms of Heuristics are Prospect theory, Loss Aversion, spot quo Bias, Gamblers Fallacy9, Self-serving bias and lastly property illusion. Framing is basically a problem of decision making where the decision is based on the point where there is difference in how the case is presented to the decision maker. Cognitive framing, psychogenic accounting and Anchoring are the common forms of Framing3. Market InefficienciesAs observed, that market outcomes are totally opposite to rational expectations and efficient market hypothesis where mispricing, irrational decision making and return anomalies are examples of it. Fung (2006) introduced three forms of market efficiency earlier presented by Fama in 1970. In the weak form, the information set contains only historical prices. In the semi strong form, information set contains all in public visible(prenominal) information. In the strong form, the information contains not only all publically available information but also insider information not available to the public. This comment of efficient markets is too general to be testable empirically. To make the model testable, he proposed a process of price formation known as the expected return or fair gage efficient markets model. In this model, when investors form e xpectations of security prices, they fully utilize all the information that is fully reflected in those prices. It is called a fair game model, because development only the information that is fully reflected in security prices, no trading system can have expected profits or returns in excess of equilibrium expected profits or returns. These terms have been described as particular proposition market anomaly from a behavioral point of view.Anomaly (economic behavior) tilt effect Endowment effect unfairness wickedness Intertemporal consumption Present-biased elections momentum investing Greed and fear move behaviorAnomalies (market prices and returns)Efficiency betroth hypothesis Limits to arbitrage Dividend puzzle uprightness premium puzzleBehavioral Economic Models are restricted to a certain observed market anomaly and it adjusts the neo classical models by explaining the phenomenon of Heuristics and framing to the decision makers. It is unremarkably said that economics g et along with in the neo classical framework, with just one restriction of the assumption of rationality. Loix et. Al (2005) in their paper Orientation towards Finances explains the individual financial management behavior, people transaction with their financial means. They have analyzed the Non-specific financial behavior as already we see extensive research on the specific finance behavior such as saving, taxation, gambling and amassing debt, and gave a lot of importance to stock market, investors and family lines. The analysis of general publics behavior was done, where an ordinary man is not sure and simply act according to the guesses over their specie related issues. It was also found that people interested in economic and financial matters are much more active in stash away specific information than general public, stating that financial behavior of household is an important relevant topic that needs to be discussed in much more details. Household financial management is corresponding to the financial management. The construct of penchant towards finances was developed where the individual ORTO quintuplet focuses on competencies (interest and skills). Having stronger money attitude is an indication of stronger orientation towards finances and much more effective competencies. because we expect some relevance and coincidence between corporate and household management behavior as both require organizing, forecasting, planning and control.Loix et. al (2005) analyzed general publics behavior in basically dividing them into two groups, financial Information and Personal financial planning. similarly explaining some practical and abstractive gaps in the area of psychology of money usage, they concluded that ORTOFIN (Orientation towards finance) indicates the involvement of individuals in managing their finances. Proving out the point that active interest in financial information and an urge to plan expenses are two main factors. A stronger ORTFIN indicates great use of debit accounts, higher savings account, wide variety of investments, greater awareness of ones financial Intimate knowledge of the details of ones savings/ touch on accounts obsessed by money, higher achievement and power in monetary terms, Further age is also inversely proportional. Shiller, (2006) in his article talked about the co-evolution of neo-classical and behavior finance that in 1937 when A. Samuelsson one of the great economists wrote about people maximizing the present value of utility subject to a present value. Another judgment he agnise was time being consistent human behavior where if at any time t,0 4. put and Cognitive Bias bullion Managers and Money management is a very popular phenomenon. The performance in a stock market is calculated at daily basis and hold for a highly unverifiable annual review of ones performance by ones superior. Market grades you on a daily basis. The smarter one is, more confident one becomes of ones ability to win clients support them by trusting them that eventually helps their careers. But the truth is that few money managers put in capable amount of time and driving force to figure out what works and develop a set of investment principles to guide their investment decisions Browne (2000). Further he discussed the importance of asset allocation and risk aversion, in order to understand why we do what we do regardless of whether it is rational or not. General public opts for money Managers to deal with their finances and these managers are reason in three ways Value Managers, Growth Managers and Market inert Managers. The vast majority of money managers are categorized as either value managers or maturation managers although a third category, market indifferent managers, is gaining popularity these days and may soon rival the so-called strategies of value and growth. Some investment management firms even are being cautious by offering all styles of investments. What too few mon ey managers do is analyze the cardinal financial characteristics of portfolios that fetch long-term market beating results, and develop a set of investment principles that are based on those findings. oddment of opinion on the definition of value is the problem. The reasons for this are two-fold, one being the practical reality of managing large sums of money, and other related to behavior. As the assets under management of an advisor grow, universe of potential stocks shrinks. Analyzing why individual and professional investors do not change their behavior even when they face empirical evidence, suggests that their decisions are less than optimal. An answer to this question is said to be that being a contrarian may simply be too risky for the average individual or professional. If a person is wrong on collective basis, where everyone else also had made a mistake, the consequences professionally and for ones own self-esteem are far less prejudicious than if a person is wrong alo ne. The lot instinct allows for comfort of arctic in numbers. The other reason is that individuals try to behave same way and do not tend to change courses of action if they are happy. If the results are not too painful individuals can be happy with sub-optimal results. Moreover, individuals who tend to be dysphoric make changes a lot and eventually end up being just as unhappy in their new circumstances. According to traditional view of investment management, fundamental forces drive markets, however many other investment firms are number being active and basing their working(a) on their experienced Judgment. It is also believed that faultfinding(prenominal) overrides value and fundamental forces of markets can be lethal as well as a cause of financial disappointment. Historically it has been found that people override at wrong times and in most cases would be better off sticky to their investment disciplines and the reason to this behavior is the cognitive bias. According to Crowell (1994) and many other researchers, stocks of nice companies with low price/ throw ratios provide excess returns. Therefore, given a choice among scurvy brassy stocks and large high priced stocks, undischarged investors (financial analysts, senior company executives and company directors) will certainly prefer small cheap ones. But the fact is opposite to this situation where these prominent investors would opt for large high priced ones and so suffer from cognitive bias and further rue.The assumptions made by Crowell (1994, pp.2) were that huge term investment value should be negatively correlated with size since small stocks provide superior returns. dour term Investment value should have a negative correlation with set/book since low monetary value/Book stocks provide superior returns. Whereas the results Crowells survey were contrary stating that Long Term Investment had a positive correlation with size and with Price/Book stocks. Crowell further say that acco rding to Shefrin and Statman, prominent investors overestimate the chance that a good company is a good stock, relying on the model heuristics, concluding that superior companies make superior stocks. Discussing the concept of regrets, aversion to regret is different from aversion to risk Regret is acute when an individual must take responsibility for the final outcome. Aversion to regret leads to a preference for stocks of good companies. The choice of the stocks of bad companies involves more personal responsibility and higher probability of regret. Therefore, two major Cognitive errors appear We have a double cognitive error good company always makes good stock (representativeness), and involves less responsibility(Less aversion to regret). (Crowell, 1994,pp.3) The Anti Cognitive bias actions would be admitting to your owned stocks, admitting earlier investment mistakes. Further, taking the responsibility for actions to improve their performance in future. The reasons for all the available discipApplication to Modern Investment Theory to EMHApplication to Modern Investment Theory to EMHThe modern investment theory and its application on the efficient markets hypothesis1. IntroductionThe Modern investment theory and its application is predicated on the Efficient Markets Hypothesis (EMH), assumption that markets fully and instantaneously integrate all available information into market prices. Underlying this comprehensive idea is the assumption that market participants are perfectly rational, and always act in self-interest, making optimal decisions. These assumptions have been challenged. It is difficult to tip over the neo classical convention that has yielded such insights as portfolio optimization, Capital Asset Pricing Model, Arbitrage Pricing Theory and Cox Ingersoll-Ross theory of the term structure of interest rates, all of which are predicated on the EMH2 rather than downside risks3. The theory of behavioral finance is opposite to the traditional theory of Finance and deals with human emotions, sentiments, conditions, biases on collective as well as individual basis. Behavior finance theory is helpful in explaining past practices of investors and find the false performance of the investors. Behavioral finance is a concept of finance which deals with finances incorporating findings from psychology and sociology. It is reviewed that behavioral finance is generally based on individual behavior and financial market outcomes. There are many models explaining behavioral finance that explains investors behavior or market irregularities where rational models fail to provide adequate information. Investors do not expect such research to provide a method to make lots of money from ineffective financial markets quickly. According to Shiller (2001) Behavioral finance has basically emerged from the theories of psychology, sociology and anthropology where implications of these theories appear to be significant for efficient market hypoth esis, that is based on the positive spirit that people behave rationally, maximize their utility. It is found that in efficient market the principle of rational behavior is not always correct. Thus, the idea of analyzing other model of human behavior has come up. Gervais (2001) further explains the concept where he says that people like to relate to the stock market as a person having different moods, this person can be bad-tempered or high-spirited and can overreact one day or make amends the next. This person indicates human behavior which is unpredictable and behaves differently in different situations. Lately many researchers have suggested the idea that psychological analysis of investors may be very helpful in understanding financial markets better. To do so it is important to understand behavioral finance presenting the concept of traditional theory overestimating rationality of investors, their biases in decisions casting a cumulative impact on asset prices. To many researc hers the study of behavior in finance appeared to be a revolution. As it transforms peoples mentality and perception about markets and factors that influence the markets. The paradigm is shifting. People are continuing to walk across the border from the traditional to the behavioral camp. Gervais (2001, pp.2). On the contrary some people believe that may be its too early to call it a revolution. Gervais (2001) states that Fama in (1970) argued that behavioral finance has not really shown an impact on world prices, and that model contradict each other on different point of times. Giving very less account to behaviorist explanations of trends and the irregularities anomaly ( is any occurrence or object that is strange, unusual, or unique) also argued that in order to locate patterns the data mining techniques are much helpful. Other researchers have also criticized the idea that behavioral finance models tend to replace the traditional models of market functions. Some weaknesses in th is area, explained by Gervais (2001)are that generally overreaction and under reaction are major causes of market behavior. In these cases People take the behavior that seems to be easy for a particular study regardless of the fact that whether these biases are either primary factor of economic forces or not. Secondly, lack of trained and expert people. The field does not have enough trained professionals both in psychology or finance fields and therefore as a result the models presented by researchers are improvised.Gervais (2001) also focused on individual behavior impacting asset prices and explained that this field of behavioral finance is currently in its developmental stage, in its way of development it is facing a lot of disagreement which itself is a productive one. He points out that if we apply the conceptual models of behavioral finance to the corporate finance, it can majorly pay off. If money managers are incorrectly rational, means they are probably not evaluating thei r investment strategies correctly. They might take wrong decisions in their capital structure decisions. It has been found that quite a few people foresee behavioral finance displacing the age old Efficient Markets theory. On the contrary underlying assumption that investors and managers are completely rational makes insightful sense to many people.2. Traditional Finance and Empirical EvidenceFung, (2006) claimed that Post Keynesian theory has criticized mainstream economic theory for using statistical methods to model the world in which historical market data cannot provide, In recent years, two different lines of research experimental economics and behavioral finance have produced results that are at odds with the predictions of mainstream financial theory. This paper argues that it is beneficial to the development of good financial theory for Post Keynesian economists to engage in an counterchange of ideas with the practitioners of these two lines of research. The difference of opinion originated when experimental economics and behavioral finance understood the difference between agents rationality in theory and in real world. Both had a same point of view regarding Post Keynesian economists where both of them refused to assume Post Keynesian economists assumption of economic actors being always rational by maximizing expected utility. Instead of assuming rational economic actors who always act consistently, they often tap into insights provided by psychology to try to explain economic behavior. The use of psychology can be traced back to Keynes, and, in fact, some of the papers in experimental economics and behavioral finance take a remark of Keynes on the psychology of economic actors as an inspiration for designing empirical tests of economic behavior. Indeed, some of these papers recognize that we live in an uncertain world, and they examine the heuristics, or rules of thumb, that economic actors develop to guide their behavior in face of uncertainty. When Keynes made his remark in 1936 (the original publication date of the General Theory), there was not yet an efficient market hypothesis. But in 1970 Fama published his pioneering paper on efficient markets. In it, he defined an efficient market as a market in which prices always fully reflect available information. Traditional theory assumes that agents are rational and the law of one price holds that is a perfect scenario. Where the law of One price5. And agents rationality explains the behavior of investor Professional and Individual which is generally inconsistent with rationality or future predictions. If a market achieves a perfect scenario where agents are rational and law of one price holds then the market is efficient. With the availability of large amount of information, form of market changes. It is unlikely that market prices contain all private information. The presence of noise traders (traders, trading randomly and not based on information). Researches show that st ock returns are typically unpredictable based on past returns where as future returns are predictable to some extent. According to Glaser et al. (2003) Few examples from the past literature explains the problem of irrationality which occurs because of naive diversification, behavior influenced by framing, the tendency of investors of committing systematic errors while evaluating public information. Lately it has been found that investors attitude towards the riskiness of a stock in future and the individual interpretation may explain the higher level trading volume, which itself is a vast topic for insight. A problem of perception exist in the investors actions that stocks have a higher risk adjusted returns than bonds. Another issue with the investors is that these investors either care about a stock portfolio or just about the value of each single security in their portfolio and thus ignore correlations. The concept of ownership society6 has been promoted in the recent years where people can take better care of their own lives and be better citizen too if they are both owner of financial assets and homeowners. As Shiller (2006) suggested that in order to improve lives of less advantaged people in our society is to teach them how to be capitalist, In order to put ownership society in its right perspective, behavioral finance is needed to be understood. The concept of ownership society seems very attractive when people appear to make profits from their investments. Behavioral finance is also very helpful in understanding and justifying government involvement in investing decisions of individuals. The failure of millions of people to save properly for their future is also a core focus of behavioral finance.According to Glaser et al. (2003) there are two approaches towards behavioral finance, where both tend to have same goals. The goals tend to explain observed prices, market trading volume and Last but not the least is the individual behavior better than tradi tional finance models. Belief Based Model Psychology (Individual Behavior) Incorporates into Model Market prices and Transaction Volume. It includes findings such as Overconfidence, Biased Self- Attrition, and Conservatism and Representativeness.Preference Based Model Rational Friction or from psychology Find explanations, Market detects irregularities and individual behavior. It incorporates Prospect Theory7, House money effect and other forms of mental accounting. Behavioral Finance and Rational debate the article by Heaton and Rosenberg (2004) highlights the debate between the rational and behavioral model over testability and predictive success. And it was found that neither of them actually offers either of these measures of success. The rational approach uses a particular type of rationalization methodology which goes on to form the basis of behavior finance predictions. A closer look into the rational finance model goes on to show that it employs ex post rationalizations of observed price behaviors. This allows them greater flexibility when offering explanations for economic anomalies. On the other hand the behavior paradigm criticizes rationalizations as having no concrete role in predicting prices accurately, that utility functions, information sets and transaction costs cannot be rationalized. Ironically they also reject the rational finances explanatory power which plays an essential role in the limits of arbitrage, which actually makes behavioral finance possible.Heaton Rosenberg (2004) presented Milton Friedmans theory that laid the basis of positive economics. His methodology focused on how to make a particular prediction it is irrelevant whether a particular assumption is rational or irrational. According to this methodology, the rational finance model relies on a limited assumption space since all assumptions that are supposedly not rational have been eliminated. This is one of the major reasons behind the little success in rational finance p redictions. Despite the minimal results, adherents of this model have criticized the behavioral model as lacking quantifiable predictions that are based on mathematical models. Rational finance has targeted a more important aspect in the structure of economy, i.e. Investor uncertainty, which further cause financial anomalies. In explaining these assertions, the behavioral approach emphasizes importance of taking limits in arbitrage. Further his methodological approach falls into the category instrumentalism8, which basically states that theories are tools for predictions and used to draw inferences. Whether an assumption is realistic or rational is of no value to an instrumentalist. By narrowing what may or may not be possible, one will inevitably eliminate certain strategies or behaviors which might in fact go on to maximize utility or profits based on their uniqueness. An assumption could be irrational even in the long run, but it is continuously revised and refined to make it int o something useful. In opposition to this, many individuals have said that behaviouralists are not bound by any constraints thus making their explanations systematically irrational. Heaton Rosenberg (2004) further explains the concept of Rubinstein that how when everyone fails to explain a particular anomaly, suddenly a behavioral aspect to it will come up, because that can be based on completely abstract irrational assumptions. To support rationality, he came up with two arguments. Firstly he went on to say that an irrational strategy that is profitable, will only attract copy cat firms or traders into the market. This is supported when a closer look is given towards limits to arbitrage. Secondly through the process of evolution, irrational decisions will eventually be eliminated in the long run. The major achievements characterized of the rational finance paradigm consist of the following the principle of no arbitrage market efficiency, the net present value decision rule, and de rivatives valuation techniques Markowitzs (1952) mean-variance framework event studies multifactor models such as the APT, ICAPM, and the Consumption CAPM. Despite the number of top achievements that supporters of the rational model claim, the paradigm fails to answer some of the most basic financial economic questions such as What is the cost of capital for this firm? or What is its optimal capital structure? simply because of their self imposed constraints. So far this makes it seem like rational finance and behavioral finance are mutually exclusive. Contrary to this, they are actually interdependent, and overlap in several areas. Take for instance the concept of mispricing when there is no arbitrage. Behavior finance on the other hand suggests that this may not be the case irrational assumptions in the market will still lead to mispricing. Further even though certain arbitrageurs may be able to identify irrationality induced mispricing, because of the imperfect market information , they are unable to convince investors of its existence. Over here, the rational model is accepting the existence of anomalies which are affected both through the factors of risk and chance therefore coinciding with the perspective of behavioral finance. Two instances are clear examples of how rationalization is an important limit of arbitrage i) the build-up and blow-up of the internet bubble and ii) the superiority of value equity strategies.If we focus on the latter, we are able to see behavioral finance literature that highlights the superiority of such strategies in the ability of analysts to extrapolate results for investors. This is possible when rationalization is taken as a limit to arbitrage. Similarly these strategies may also limit arbitrage against mispricing, through the great risk associated with stocks. In explaining most anomalies it is essential that analysts first conclude whether pricing is rational or not. To prove their hypothesis that irrationality induced mi spricing exists behaviouralists may find it easier if they accepted the role of rationalization in limits of arbitrage. Slow information diffusion and short-sales constraints are other factors which explain mispricing. However these factors alone cannot form the basis of a strong and concrete explanation that will clarify pricing across firms and also across time. Those supporting the rational paradigm attack behavioral finance adherents in that their predictions for the financial markets have been made on irrational assumptions that are not supported by concrete mathematical or scientific models. In their view the lack of concrete discipline in the methodology adopted in behavior finance leads to the lack of testing in their forecasts. On the other hand the rational model is criticized for its lack of success in financial predictions. The behaviouralists claim that this limitation exists because the supporters of rational finance dismiss aspects of the economic market simply becaus e it may not fall into explainable rational behavior. Both perspectives claim to align themselves with respect to the goals of testability and predictions, while at the same time continue to offer evidence against the other model. In reality however, rather than being exclusively mutual both paradigms assist one another in making their predictions. Ray (2006) examines a new genre of behavioral markets prediction markets and their remarkable ability to aggregate inside and expert information from around the world in order to accurately predict all types of economic and financial variables. To date it is said that the prediction markets are the most accurately efficient markets as they prove to show all three forms of market efficiency (weak, semi-strong, and strong), in contrast to regulated markets. Prediction markets are also said to be decision markets. It initially evolved in 1988 with the first online betting market the Iowa Electronic Market. These online markets have proven th eir predictions accurately since the time they came into being. To be precise these prediction markets are behavioral markets with powerful statistical components that are able to predict the most likely values of future financial variables, variances around such values, and their correlations with other future financial variables. Ray (2006) says that being unregulated, prediction markets are highly effective at flushing out and thereafter aggregating relevant information including inside and expert information regarding a particular event, globally extracting such information from savvy bettors who are eager to profit from their inside and expert information. These sorts of prediction markets have become so popular that now a days major companies use such behavioral markets to accurately forecast sales, earnings, product success, and many other financial and economic variables. The foremost tool for these markets is the wisdom of crowd. In order to accurately predict financial and economical variables he presented few conditions as a prerequisite, which included mainly having a variety of opinions, with no herd behavior, should be able to use their knowledge according to the information available with them and last but not the least is the fact that prediction markets expectations are not self fulfilling prophecies. Prediction markets are a new genre of behavioral markets that continually reveal the thinking of confident insiders by suggesting them to profit from their inside and expert information. The subjective evidence with a few statistical evidences corroborates the impressive ability of these markets to predict financial events of all types. The phenomenon exists from ages and effectively proves its performance especially in worlds financial markets. The demonstrated accuracy of predictions in these markets can be of significant utility to traders, financial analysts, behavioral analysts, and many others intending to forecast and analyze financial dat a.A persons tendency to make errors is known as cognitive bias. These errors are based on the cognitive factors that include statistical judgments, social attribution and memory being common to all the humans in the world. Cognitive bias is the tendency of intelligent, well-informed people to consistently do the wrong thing. Crowell (1994, pp. 1). The reason behind this cognitive bias is that the Human brain is made for interpersonal relationships and not for processing statistics. He discussed the frailty of forecasts. Generally it is said that the world is divided into two groups People forecasting positively and people forecasting negatively. These forecasts exaggerate the reliability of their forecasts and trace it to the illusion of validity which exists even when the illusionary character is recognized. Fisher and Statman, (2000) discussed five cognitive bias, underlying the illusion of validity that are Overconfidence, Confirmation, Representativeness, Anchoring, and Hindsigh t. Shiller (2002) discusses, that irrational behavior may disappear with more learning and a much more structured situation. History proves it that many of cognitive biases in human judgment value uncertainly will change they may be convinced if given proper instructions, on the part-experience of irrational behavior. The three most common themes of behavioral finance are as follows Heuristics, Framing and Market Inefficiencies. People when decide on the basis of the rules of thumb regardless of rationalizing suffer from Heuristics. Some forms of Heuristics are Prospect theory, Loss Aversion, Status quo Bias, Gamblers Fallacy9, Self-serving bias and lastly Money illusion. Framing is basically a problem of decision making where the decision is based on the point where there is difference in how the case is presented to the decision maker. Cognitive framing, Mental accounting and Anchoring are the common forms of Framing3. Market InefficienciesAs observed, that market outcomes are tot ally opposite to rational expectations and efficient market hypothesis where mispricing, irrational decision making and return anomalies are examples of it. Fung (2006) introduced three forms of market efficiency earlier presented by Fama in 1970. In the weak form, the information set contains only historical prices. In the semi strong form, information set contains all publicly available information. In the strong form, the information contains not only all publicly available information but also insider information not available to the public. This definition of efficient markets is too general to be testable empirically. To make the model testable, he proposed a process of price formation known as the expected return or fair game efficient markets model. In this model, when investors form expectations of security prices, they fully utilize all the information that is fully reflected in those prices. It is called a fair game model, because using only the information that is fully reflected in security prices, no trading system can have expected profits or returns in excess of equilibrium expected profits or returns. These terms have been described as specific market anomaly from a behavioral point of view.Anomaly (economic behavior) Disposition effect Endowment effect Inequity aversion Intertemporal consumption Present-biased preferences Momentum investing Greed and fear Herd behaviorAnomalies (market prices and returns)Efficiency wage hypothesis Limits to arbitrage Dividend puzzle Equity premium puzzleBehavioral Economic Models are restricted to a certain observed market anomaly and it adjusts the neo classical models by explaining the phenomenon of Heuristics and framing to the decision makers. It is usually said that economics get along with in the neo classical framework, with just one restriction of the assumption of rationality. Loix et. Al (2005) in their paper Orientation towards Finances explains the individual financial management behavior, people dealing with their financial means. They have analyzed the Non-specific financial behavior as already we see extensive research on the specific finance behavior such as saving, taxation, gambling and amassing debt, and gave a lot of importance to stock market, investors and households. The analysis of general publics behavior was done, where an ordinary man is not sure and simply act according to the guesses over their money related issues. It was also found that people interested in economic and financial matters are much more active in collecting specific information than general public, stating that financial behavior of household is an important relevant topic that needs to be discussed in much more details. Household financial management is similar to the financial management. The construct of orientation towards finances was developed where the individual ORTO FIN focuses on competencies (interest and skills). Having stronger money attitude is an indication of stronger orienta tion towards finances and much more effective competencies. Therefore we expect some relevance and similarity between corporate and household management behavior as both require organizing, forecasting, planning and control.Loix et. al (2005) analyzed general publics behavior in basically dividing them into two groups, Financial Information and Personal financial planning. Also explaining some practical and theoretical gaps in the area of psychology of money usage, they concluded that ORTOFIN (Orientation towards finance) indicates the involvement of individuals in managing their finances. Proving out the point that active interest in financial information and an urge to plan expenses are two main factors. A stronger ORTFIN indicates greater use of debit accounts, higher savings account, wide variety of investments, greater awareness of ones financial Intimate knowledge of the details of ones savings/deposit accounts obsessed by money, higher achievement and power in monetary terms, Further age is also inversely proportional. Shiller, (2006) in his article talked about the co-evolution of neo-classical and behavior finance that in 1937 when A. Samuelsson one of the great economists wrote about people maximizing the present value of utility subject to a present value. Another judgment he realized was time being consistent human behavior where if at any time t,0 4. Investing and Cognitive BiasMoney Managers and Money management is a very popular phenomenon. The performance in a stock market is measured at daily basis and waiting for a highly subjective annual review of ones performance by ones superior. Market grades you on a daily basis. The smarter one is, more confident one becomes of ones ability to succeed clients support them by trusting them that eventually helps their careers. But the truth is that few money managers put in sufficient amount of time and effort to figure out what works and develop a set of investment principles to guide their investment d ecisions Browne (2000). Further he discussed the importance of asset allocation and risk aversion, in order to understand why we do what we do regardless of whether it is rational or not. General public opts for money Managers to deal with their finances and these managers are categorized in three ways Value Managers, Growth Managers and Market Neutral Managers. The vast majority of money managers are categorized as either value managers or growth managers although a third category, market neutral managers, is gaining popularity these days and may soon rival the so-called strategies of value and growth. Some investment management firms even are being cautious by offering all styles of investments. What too few money managers do is analyze the fundamental financial characteristics of portfolios that produce long-term market beating results, and develop a set of investment principles that are based on those findings. Difference of opinion on the definition of value is the problem. The reasons for this are two-fold, one being the practical reality of managing large sums of money, and other related to behavior. As the assets under management of an advisor grow, universe of potential stocks shrinks. Analyzing why individual and professional investors do not change their behavior even when they face empirical evidence, suggests that their decisions are less than optimal. An answer to this question is said to be that being a contrarian may simply be too risky for the average individual or professional. If a person is wrong on collective basis, where everyone else also had made a mistake, the consequences professionally and for ones own self-esteem are far less damaging than if a person is wrong alone. The herd instinct allows for comfort of safety in numbers. The other reason is that individuals try to behave same way and do not tend to change courses of action if they are happy. If the results are not too painful individuals can be happy with sub-optimal results. Mo reover, individuals who tend to be unhappy make changes often and eventually end up being just as unhappy in their new circumstances. According to traditional view of investment management, fundamental forces drive markets, however many other investment firms are consider being active and basing their working on their experienced Judgment. It is also believed that Judgmental overrides value and fundamental forces of markets can be lethal as well as a cause of financial disappointment. Historically it has been found that people override at wrong times and in most cases would be better off sticking to their investment disciplines and the reason to this behavior is the cognitive bias. According to Crowell (1994) and many other researchers, stocks of small companies with low price/book ratios provide excess returns. Therefore, given a choice among small cheap stocks and large high priced stocks, prominent investors (financial analysts, senior company executives and company directors) wi ll certainly prefer small cheap ones. But the fact is opposite to this situation where these prominent investors would opt for large high priced ones and so suffer from cognitive bias and further regret.The assumptions made by Crowell (1994, pp.2) were that Long term investment value should be negatively correlated with size since small stocks provide superior returns. Long term Investment value should have a negative correlation with Price/book since low Price/Book stocks provide superior returns. Whereas the results Crowells survey were contrary stating that Long Term Investment had a positive correlation with size and with Price/Book stocks. Crowell further stated that according to Shefrin and Statman, prominent investors overestimate the probability that a good company is a good stock, relying on the representative heuristics, concluding that superior companies make superior stocks. Discussing the concept of regrets, aversion to regret is different from aversion to risk Regret i s acute when an individual must take responsibility for the final outcome. Aversion to regret leads to a preference for stocks of good companies. The choice of the stocks of bad companies involves more personal responsibility and higher probability of regret. Therefore, two major Cognitive errors appear We have a double cognitive error good company always makes good stock (representativeness), and involves less responsibility(Less aversion to regret). (Crowell, 1994,pp.3) The Anti Cognitive bias actions would be admitting to your owned stocks, admitting earlier investment mistakes. Further, taking the responsibility for actions to improve their performance in future. The reasons for all the available discip