scholarly journals Is Cumulative Prospect Theory a Serious Alternative for the Expected Utility Paradigm?

2006 ◽  
Author(s):  
Michał Lewandowski
Risks ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 72
Author(s):  
Oleg Uzhga-Rebrov ◽  
Peter Grabusts

Choosing solutions under risk and uncertainty requires the consideration of several factors. One of the main factors in choosing a solution is modeling the decision maker’s attitude to risk. The expected utility theory was the first approach that allowed to correctly model various nuances of the attitude to risk. Further research in this area has led to the emergence of even more effective approaches to solving this problem. Currently, the most developed theory of choice with respect to decisions under risk conditions is the cumulative prospect theory. This paper presents the development history of various extensions of the original expected utility theory, and the analysis of the main properties of the cumulative prospect theory. The main result of this work is a fuzzy version of the prospect theory, which allows handling fuzzy values of the decisions (prospects). The paper presents the theoretical foundations of the proposed version, an illustrative practical example, and conclusions based on the results obtained.


2013 ◽  
Vol 2 (2) ◽  
pp. 97-108
Author(s):  
David Peel

Given that the expected return and variance of return of two gambles are equal  the hypothesis that the gamble with the greater  positive skewness of return will be chosen by an expected utility maximiser is appealing. However the hypothesis is  not, in general, correct. Brockett and Garven (1998) and Brocket and Kahane (1992) demonstrate this both theoretically and by constructing counter examples.A particularly revealing example is the following one constructed by Brockett and Kahane.  Gamble A has the two outcomes 2.45 and 7.49 with probabilities 0.5141 and 0.4859 respectively. Gamble B has the three outcomes 0, 4.947 and 10 with probabilities 0.12096, 0.750085 and 0.128955 respectively. Even though gamble A exhibits  lower expected return,  a higher variance and lower  positive skewness than gamble B it is preferred to gamble B by an expected utility maximiser on the basis of any standard utility function  such as power, log or exponential.  Consequently in this  example of theirs the expected utility maximiser exhibits an aversion to higher expected return and higher skewness and a preference for higher variance. As noted by Brockett and Kahane these results cannot be dismissed as decision makers “trading” variance for mean or skewness or having a strange idiosyncratic utility function.


2008 ◽  
Vol 98 (5) ◽  
pp. 2066-2100 ◽  
Author(s):  
Nicholas Barberis ◽  
Ming Huang

We study the asset pricing implications of Tversky and Kahneman's (1992) cumulative prospect theory, with a particular focus on its probability weighting component. Our main result, derived from a novel equilibrium with nonunique global optima, is that, in contrast to the prediction of a standard expected utility model, a security's own skewness can be priced: a positively skewed security can be “overpriced” and can earn a negative average excess return. We argue that our analysis offers a unifying way of thinking about a number of seemingly unrelated financial phenomena. (JEL D81, G11, G12)


2020 ◽  
Vol 102 (5) ◽  
pp. 1006-1020
Author(s):  
Enrico Diecidue ◽  
Haim Levy ◽  
Moshe Levy

The most commonly employed paradigms for decision making under risk are expected utility, prospect theory, and regret theory. We examine the simple heuristic of maximizing the probability of being ahead, which in some natural economic situations may be in contradiction to all three of the above fundamental paradigms. We test whether this heuristic, which we call probability dominance (PD), affects decisions under risk. We set up head-to-head situations where all preferences of a given class (expected utility, original or cumulative prospect theory, or regret theory) favor one alternative yet PD favors the other. Our experiments reveal that 49% of subjects' choices are aligned with PD in contradiction to any form of expected utility or prospect theory maximization; 73% are aligned with PD as opposed to preferences under risk aversion and under original and cumulative prospect theory preferences; and 68% to 76% are aligned with PD contradicting preferences under regret theory. We conclude that probability dominance substantially affects choices and should therefore be incorporated into decision-making models. We show that PD has significant economic consequences. The PD heuristic may have evolved through situations of winner-take-all competition.


2020 ◽  
Vol 30 (4) ◽  
Author(s):  
Sławomir Kalinowski

The article is an experimental study testing the expected utility theory axioms. Three of the experiments are a repetition of a previous test, while the other two are original. The repeated experiments were performed in slightly changed circumstances. The participants were incentivised with rewards, which did not happen in the tree replicated tests. The results confirmed degeneration of the expected utility theory as a scientific research program. The evidence that emerged from the tests supported the hypothesis on the cumulative prospect theory predicting facts not forecasted by the EUT.


2013 ◽  
Vol 2 (3) ◽  
pp. 71-84
Author(s):  
David Peel ◽  
David Law

Explanation of the Allais paradox and the preference of many for multiple prize lottery tickets provide a rationale for why a model of agent’s choice under uncertainty should embody the assumption that they distort probabilities. However the degree of probability distortion  required to  explain gambling on long shots in Cumulative Prospect Theory appears problematic since it implies subjective expected rates of return are dramatically higher than objective returns. Here we show that a  Markowitz model of expected utility, supplemented by a small degree of probability distortion, has qualitatively  similar predictions as Cumulative Prospect Theory for numerous experimental outcomes as well as the  indifference curves between expected return and objective probabilities for a given stake gamble. In addition we show how a small degree of probability distortion can lead to a preference  for a multiple prize lottery which has a rather  different prize structure and associated probabilities than the optimally chosen one prize lottery  even though the utility gain is small.


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