Test Statistics for Prospect and Markowitz Stochastic Dominances with Applications

Abstract:     
Levy and Levy (2002, 2004) extend the stochastic dominance (SD) theory for risk averters and risk seekers by developing the prospect SD (PSD) and Markowitz SD (MSD) theory for investors with S‐shaped and reverse S‐shaped (RS‐shaped) utility functions, respectively. Davidson and Duclos (2000) develop SD tests for risk averters whereas Sriboonchitra et al. (2009) modify their statistics to obtain SD tests for risk seekers. In this paper, we extend their work by developing new statistics for both PSD and MSD of the first three orders. These statistics provide a tool to examine the preferences of investors with S‐shaped utility functions proposed by Kahneman and Tversky (1979) in their prospect theory and investors with RS‐shaped investors proposed by Markowitz (1952a). We also derive the limiting distributions of the test statistics to be stochastic processes. In addition, we propose a bootstrap method to decide the critical points of the tests and prove the consistency of the bootstrap tests. To illustrate the applicability of our proposed statistics, we apply them to study the preferences of investors with the corresponding S‐shaped and RS‐shaped utility functions vis‐à‐vis returns on iShares and vis‐à‐vis returns of traditional stocks and Internet stocks before and after the Internet bubble.

Number of Pages in PDF File: 26

Keywords: Hypothesis testing, Markowitz stochastic dominance, Prospect stochastic dominance, Risk averse, Risk seeking, RS‐shaped utility function, S‐shaped utility function, Test statistics

Accepted Paper Series