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Risk aversion and skewness preference

Journal of Banking & Finance 2008 32(7), 1178-1187
Empirically, co-skewness of asset returns seems to explain a substantial part of the cross-sectional variation of mean return not explained by beta. This finding is typically interpreted in terms of a risk averse representative investor with a cubic utility function. This paper questions this interpretation. We show that the empirical tests fail to impose risk aversion and the implied utility function takes an inverse S-shape. Unfortunately, the first-order conditions are not sufficient to guarantee that the market portfolio is the global maximum for this utility function, and our results suggest that the market portfolio is more likely to represent the global minimum. In addition, if we do impose risk aversion, then co-skewness has minimal explanatory power.

Experimental Tests of the Separation Theorem and the Capital Asset Pricing Model

American Economic Review 2016
A computer-controlled portfolio selection task with three risky assets and either with or without a riskless asset was devised to test experimentally assumptions underlying the separation theorem and the capital asset pricing model. Two differently paid groups of subjects completed individually up to 300 portfolio selection problems. Although most of the subjects diversified among the risky assets, the introduction of a riskless asset did not have the effect predicted by the separation theorem, nor were the subjects affected by systematic changes in the variance-covariance matrix governing the risky returns. However, performance improved as the reward was increased tenfold.

Probability Dominance

The Review of Economics and Statistics 2020 102(5), 1006-1020
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.

Do Happy People Make Optimistic Investors?

Journal of Financial and Quantitative Analysis 2015 50(1-2), 145-168 open access
Do happy people predict future risk and return differently from unhappy people, or do individuals rely only on economic facts? We survey investors on their subjective sentiment-creating factors, return and risk expectations, and investment plans. We find that noneconomic factors systematically affect return and risk expectations, where the return effect is more profound. Investment plans are also affected by noneconomic factors. Sports results and general feelings significantly affect predictions. Sufferers from seasonal affective disorder have lower return expectations in the autumn than in other seasons, supporting the winter blues hypothesis.