Linear Tests for Decreasing Absolute Risk Aversion Stochastic Dominance

Linear Tests for Decreasing Absolute Risk Aversion Stochastic Dominance


作者:Thierry Post, Yi Fang, Milos Kopa 刊名:Management Science 时间:2015(7)

关键词 Stochastic dominance; utility theory; decreasing absolute risk aversion; linear programming; bootstrapping; market portfolio efficiency; pricing kernel; skewness

内容摘要

We develop and implement linear formulations of convex stochastic dominance (SD) relations based on decreasing absolute risk aversion (DARA) for discrete and polyhedral choice sets. Our approach is based on a piece wise-exponential representation of utility and a local linear approximation to the exponentiation of log marginal utility. An empirical application to historical stock market data suggests that a passive stock market portfolio is DARA SD inefficient relative to concentrated portfolios of small-cap stocks. The mean-variance rule and N-th order stochastic dominance rules substantially under estimate the degree of market portfolio inefficiency, because they do not penalize the unfavorable skewness of diversified portfolios, inviolation of DARA.


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