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Prospect theory is a theory of behavioral economics, judgment and decision making that was developed by Daniel Kahneman and Amos Tversky in 1979. [1] The theory was cited in the decision to award Kahneman the 2002 Nobel Memorial Prize in Economics .
In behavioral economics, cumulative prospect theory (CPT) is a model for descriptive decisions under risk and uncertainty which was introduced by Amos Tversky and Daniel Kahneman in 1992 (Tversky, Kahneman, 1992). It is a further development and variant of prospect theory.
It is an idea introduced in prospect theory. Normally a reduction in the probability of winning a reward (e.g., a reduction from 80% to 20% in the chance of winning a reward) creates a psychological effect such as displeasure to individuals, which leads to the perception of loss from the original probability thus favoring a risk-averse decision.
Reference dependence is a central principle in prospect theory and behavioral economics generally. It holds that people evaluate outcomes and express preferences relative to an existing reference point, or status quo. It is related to loss aversion and the endowment effect. [1] [2]
Prospect theory and loss aversion suggests that most people would choose option B as they prefer the guaranteed $920 since there is a probability of winning $0, even though it is only 1%. This demonstrates that people think in terms of expected utility relative to a reference point (i.e. current wealth) as opposed to absolute payoffs.
In 1979, Daniel Kahneman and Amos Tversky traced the cause of the disposition effect to the so-called "prospect theory". [3] 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 ...
Watch firsthand, in 360 video, as Susan Sarandon listens and learns about refugees' hopes, dreams and journeys
Prospect theory posits that a loss is more significant than the equivalent gain, [2] that a sure gain (certainty effect and pseudocertainty effect) is favored over a probabilistic gain, [3] and that a probabilistic loss is preferred to a definite loss. [2]