UTILITY MAXIMIZATION, RISK AVERSION, AND STOCHASTIC DOMINANCE

Abstract. Consider an investor trading dynamically to maximize ex-pected utility from terminal wealth. Our aim is to study the dependence between her risk aversion and the distribution of the optimal terminal payoff. Economic intuition suggests that high risk aversion leads to a rather concentrated distribution, whereas lower risk aversion results in a higher average payoff at the expense of a more widespread distribu-tion. Dybvig and Wang [J. Econ. Theory, 2011, to appear] find that this idea can indeed be turned into a rigorous mathematical statement in one-period models. More specifically, they show that lower risk aver-sion leads to a payoff which is larger in terms of second order stochastic dominance. In the present study, we extend their results to (weakly) complete continuous-time models. We also complement an ad-hoc counterexam-ple of Dybvig and Wang, by showing that these results are “fragile”, in the sense that they fail in essentially any model, if the latter is per-turbed on a set of arbitrarily small probability. On the other hand, we establish that they hold for power investors in models with (condition-ally) independent increments. JEL classification codes: G11, C61. 1