Risk: Is There a Unique Objective Measure? -- Expected Utility Theory -- Stochastic Dominance Decision Rules -- Stochastic Dominance: The Quantile Approach -- Algorithms for Stochastic Dominance -- Stochastic Dominance with Specific Distributions -- Almost Stochastic Dominance (ASD) --...

This book is devoted to investment decision-making under uncertainty. The book covers three basic approaches to this process: the stochastic dominance approach; the mean-variance approach; and the non-expected utility approach, focusing on prospect theory and its modified version, cumulative...

This updated 3rd edition is devoted to the analysis of various Stochastic Dominance (SD) decision rules. It discusses the pros and cons of each of the alternate SD rules, the application of these rules to various research areas like statistics, agriculture, medicine, measuring income inequality...

We present the first calibration of quantum decision theory (QDT) to an empirical data set. The data comprise 91 choices between two lotteries (two "prospects") presented in 91 random pairs made by 142 subjects offered at two separated times. First, we quantitatively account for the fraction of...

This paper presents a new two-parameter probability weighting function for Tversky and Kahneman (1992) cumulative prospect theory as well as its special cases — Quiggin (1981) rank-dependent utility and Yaari (1987) dual model. The proposed probability weighting function can be inverse...