Stochastic Dominance : Investment Decision Making under Uncertainty / by Haim Levy.

Springer eBooks

On the Measurement of Risk -- Expected Utility Theory -- Stochastic Dominance Decision Rules -- Stochastic Dominance: The Quantile -- Algorithms for Stochastic Dominance -- Stochastic Dominance with Specific Distributions -- The Empirical Studies -- Applications of Stochastic Dominance Rules -- Stochastic Dominance and Risk Measures -- Stochastic Dominance and Diversification -- Decision Making and the Investment Horizon -- The CAMP and Stochastic Dominance -- Almost Stochastic Dominance (ASD) -- Non-Expected Utility and Stochastic Dominance -- Stochastic Dominance and Prospect Theory -- Future Research.

Stochastic Dominance 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 prospect theory. These approaches are discussed and compared in this book. In addition, this volume examines cases in which stochastic dominance rules coincide with the mean-variance rule and cases in which contradictions between these two approaches may occur. It then discusses the relationship between stochastic dominance rules and prospect theory, and establishes a new investment decision rule which combines the two and which we call prospect stochastic dominance. Although all three approaches are discussed, most of the book is devoted to the stochastic dominance paradigm.

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