If a given risky prospect is compared with multiple choice alternatives, then a joint test for optimality is more appropriate than a series of pairwise Stochastic Dominance tests. We develop and implement a bootstrap empirical likelihood ratio test for this hypothesis. The test statistic and...

This paper analyzes optimal risk sharing among agents that are endowed with either expected utility preferences or with dual utility preferences. We find that Pareto optimal risk redistributions and the competitive equilibria can be obtained via bargaining with a hypothetical representative...

According to the behavioral finance theory, agents act coherently with the Kahneman and Tversky prospect paradigms and may violate those dictated by the rational expected utility. From the point of view of real financial markets' applications, a key question concerns how to eliciting the...

We introduce a new and complete ordering of prospects that is consistent with stochastic dominance (SD). Featuring loss aversion and skewness preference, it mitigates the low discriminatory power of SD and circumvents implementation difficulties associated with third order SD. To highlight its...

In this paper we first extend the theory of almost stochastic dominance (ASD) (for risk averters) to include the ASD for risk-seeking investors. We then study the relationship between ASD for risk seekers and ASD for risk averters. Recently, Tsetlin, et al. (2015) develop the theory of...

This experimental study is concerned with the impact of the timing of the resolution of risk on people's willingness to take risks, with a special focus on the role of affect. While the importance of anticipatory emotions has so far been only inferred from decisions regarding hypothetical choice...

Foster and Hart propose a measure of riskiness for discrete random variables. Their defining equation has no solution for many common continuous distributions. We show how to extend consistently the definition of riskiness to continuous random variables. For many continuous random variables, the...