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Prospect Theory
Prospect theory is a theory of behavioral economics and behavioral finance that was developed by Daniel Kahneman and Amos Tversky in 1979. The theory was cited in the decision to award Kahneman the 2002 Nobel Memorial Prize in Economics. Based on results from controlled studies, it describes how individuals assess their loss and gain perspectives in an asymmetric manner (see loss aversion). For example, for some individuals, the pain from losing $1,000 could only be compensated by the pleasure of earning $2,000. Thus, contrary to the expected utility theory (which models the decision that perfectly rational agents would make), prospect theory aims to describe the actual behavior of people. In the original formulation of the theory, the term ''prospect'' referred to the predictable results of a lottery. However, prospect theory can also be applied to the prediction of other forms of behaviors and decisions. Overview Prospect theory stems from Loss aversion, where the observ ...
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Daniel Kahneman (3283955327) (cropped)
Daniel Kahneman (; he, דניאל כהנמן; born March 5, 1934) is an Israeli-American psychologist and economist notable for his work on the psychology of judgment and decision-making, as well as behavioral economics, for which he was awarded the 2002 Nobel Memorial Prize in Economic Sciences (shared with Vernon L. Smith). His empirical findings challenge the assumption of human rationality prevailing in modern economic theory. With Amos Tversky and others, Kahneman established a cognitive basis for common human errors that arise from heuristics and biases, and developed prospect theory. In 2011 he was named by ''Foreign Policy'' magazine in its list of top global thinkers. In the same year his book ''Thinking, Fast and Slow'', which summarizes much of his research, was published and became a best seller. In 2015, ''The Economist'' listed him as the seventh most influential economist in the world. He is professor emeritus of psychology and public affairs at Princeton Unive ...
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Risk-seeking
In accounting, finance, and economics, a risk-seeker or risk-lover is a person who has a preference ''for'' risk. While most investors are considered risk ''averse'', one could view casino-goers as risk-seeking. A common example to explain risk-seeking behaviour is; If offered two choices; either $50 as a sure thing, or a 50% chance each of either $100 or nothing, a risk-seeking person would prefer the gamble. Even though the gamble and the "sure thing" have the same expected value, the preference for risk makes the gamble's expected utility for the individual much higher. The Utility Function and Risk-Seekers Choice under uncertainty is when a person facing a choice is not certain of the possible outcomes or their probability of occurring. The standard way to model how people choose under uncertain condition, is by using expected utility. In order to calculate expected utility, a utility function 'u' is developed in order to translate money into Utility. Therefore, if a person ...
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Mental Accounting
Mental accounting (or psychological accounting) attempts to describe the process whereby people code, categorize and evaluate economic outcomes. The concept was first named by Richard Thaler. Mental accounting deals with the budgeting and categorization of expenditures. People budget money into mental accounts for expenses (e.g., saving for a home) or expense categories (e.g., gas money, clothing, utilities). Mental accounts are believed to act as a self-control strategy. People are presumed to make mental accounts as a way to manage and keep track of their spending and resources. People also are assumed to make mental accounts to facilitate savings for larger purposes (e.g., a home or college tuition). Like many other cognitive processes, it can prompt biases and systematic departures from rational, value-maximizing behavior, and its implications are quite robust. Understanding the flaws and inefficiencies of mental accounting is essential to making good decisions and reducing hum ...
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Framing (economics)
In the social sciences, framing comprises a set of concepts and theoretical perspectives on how individuals, groups, and societies organize, perceive, and communicate about reality. Framing can manifest in thought or interpersonal communication. ''Frames in thought'' consist of the mental representations, interpretations, and simplifications of reality. ''Frames in communication'' consist of the communication of frames between different actors. Framing is a key component of sociology, the study of social interaction among humans. Framing is an integral part of conveying and processing data on a daily basis. Successful framing techniques can be used to reduce the ambiguity of intangible topics by contextualizing the information in such a way that recipients can connect to what they already know. In social theory, framing is a schema of interpretation, a collection of anecdotes and stereotypes, that individuals rely on to understand and respond to events. Goffman, E. (1974). F ...
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Risk Seeking
In accounting, finance, and economics, a risk-seeker or risk-lover is a person who has a preference ''for'' risk. While most investors are considered risk ''averse'', one could view casino-goers as risk-seeking. A common example to explain risk-seeking behaviour is; If offered two choices; either $50 as a sure thing, or a 50% chance each of either $100 or nothing, a risk-seeking person would prefer the gamble. Even though the gamble and the "sure thing" have the same expected value, the preference for risk makes the gamble's expected utility for the individual much higher. The Utility Function and Risk-Seekers Choice under uncertainty is when a person facing a choice is not certain of the possible outcomes or their probability of occurring. The standard way to model how people choose under uncertain condition, is by using expected utility. In order to calculate expected utility, a utility function 'u' is developed in order to translate money into Utility. Therefore, if a person ...
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Risk Aversion
In economics and finance, risk aversion is the tendency of people to prefer outcomes with low uncertainty to those outcomes with high uncertainty, even if the average outcome of the latter is equal to or higher in monetary value than the more certain outcome. Risk aversion explains the inclination to agree to a situation with a more predictable, but possibly lower payoff, rather than another situation with a highly unpredictable, but possibly higher payoff. For example, a risk-averse investor might choose to put their money into a bank account with a low but guaranteed interest rate, rather than into a stock that may have high expected returns, but also involves a chance of losing value. Example A person is given the choice between two scenarios: one with a guaranteed payoff, and one with a risky payoff with same average value. In the former scenario, the person receives $50. In the uncertain scenario, a coin is flipped to decide whether the person receives $100 or nothing. The ...
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Disposition Effect
The disposition effect is an anomaly discovered in behavioral finance. It relates to the tendency of investors to sell assets that have increased in value, while keeping assets that have dropped in value. Hersh Shefrin and Meir Statman identified and named the effect in their 1985 paper, which found that people dislike losing significantly more than they enjoy winning. The disposition effect has been described as one of the foremost vigorous actualities around individual investors because investors will hold stocks that have lost value yet sell stocks that have gained value." In 1979, Daniel Kahneman and Amos Tversky traced the cause of the disposition effect to the so-called "prospect theory". The prospect theory proposes that when an individual is presented with two equal choices, one having possible gains and the other with possible losses, the individual is more likely to opt for the former choice even though both would yield the same economic result. The disposition effect ca ...
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Dominating Decision Rule
In decision theory Decision theory (or the theory of choice; not to be confused with choice theory) is a branch of applied probability theory concerned with the theory of making decisions based on assigning probabilities to various factors and assigning numerical ..., a decision rule is said to dominate another if the performance of the former is sometimes better, and never worse, than that of the latter. Formally, let \delta_1 and \delta_2 be two decision theory, decision rules, and let R(\theta, \delta) be the risk function, risk of rule \delta for parameter \theta. The decision rule \delta_1 is said to dominate the rule \delta_2 if R(\theta,\delta_1)\le R(\theta,\delta_2) for all \theta, and the inequality is strict for some \theta.. This defines a partial order on decision rules; the maximal elements with respect to this order are called ''admissible decision rules.'' References

{{statistics-stub Decision theory ...
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Linear
Linearity is the property of a mathematical relationship (''function'') that can be graphically represented as a straight line. Linearity is closely related to '' proportionality''. Examples in physics include rectilinear motion, the linear relationship of voltage and current in an electrical conductor (Ohm's law), and the relationship of mass and weight. By contrast, more complicated relationships are ''nonlinear''. Generalized for functions in more than one dimension, linearity means the property of a function of being compatible with addition and scaling, also known as the superposition principle. The word linear comes from Latin ''linearis'', "pertaining to or resembling a line". In mathematics In mathematics, a linear map or linear function ''f''(''x'') is a function that satisfies the two properties: * Additivity: . * Homogeneity of degree 1: for all α. These properties are known as the superposition principle. In this definition, ''x'' is not necessarily a real ...
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Utility
As a topic of economics, utility is used to model worth or value. Its usage has evolved significantly over time. The term was introduced initially as a measure of pleasure or happiness as part of the theory of utilitarianism by moral philosophers such as Jeremy Bentham and John Stuart Mill. The term has been adapted and reapplied within neoclassical economics, which dominates modern economic theory, as a utility function that represents a single consumer's preference ordering over a choice set but is not comparable across consumers. This concept of utility is personal and based on choice rather than on pleasure received, and so is specified more rigorously than the original concept but makes it less useful (and controversial) for ethical decisions. Utility function Consider a set of alternatives among which a person can make a preference ordering. The utility obtained from these alternatives is an unknown function of the utilities obtained from each alternative, not the sum of ...
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Framing Effect (psychology)
The framing effect is a cognitive bias where people decide on options based on whether the options are presented with positive or negative connotations; e.g. as a loss or as a gain. People tend to avoid risk when a positive frame is presented but seek risks when a negative frame is presented. Gain and loss are defined in the scenario as descriptions of outcomes (e.g., lives lost or saved, disease patients treated and not treated, etc.). Prospect theory posits that a loss is more significant than the equivalent gain, that a sure gain (certainty effect and pseudocertainty effect) is favored over a probabilistic gain, and that a probabilistic loss is preferred to a definite loss. One of the dangers of framing effects is that people are often provided with options within the context of only one of the two frames. The concept helps to develop an understanding of frame analysis within social movements, and also in the formation of political opinion where spin plays a large role in pol ...
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Heuristics In Judgment And Decision Making
Heuristics is the process by which humans use mental short cuts to arrive at decisions. Heuristics are simple strategies that humans, animals, organizations, and even machines use to quickly form judgments, make decisions, and find solutions to complex problems. Often this involves focusing on the most relevant aspects of a problem or situation to formulate a solution. While heuristic processes are used to find the answers and solutions that are ''most'' likely to work or be correct, they are not always right or the most accurate. Judgments and decisions based on heuristics are simply good enough to satisfy a pressing need in situations of uncertainty, where information is incomplete. In that sense they can differ from answers given by logic and probability. The economist and cognitive psychologist Herbert A. Simon introduced the concept of heuristics in the 1950s, suggesting there were limitations to rational decision making. In the 1970s, psychologists Amos Tversky and Daniel K ...
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