Journal of Applied Mathematics and Decision Sciences
Volume 2006 (2006), Article ID 82049, 10 pages

Stochastic dominance theory for location-scale family

Wing-Keung Wong

Risk Management Institute and Department of Economics, National University of Singapore, 1 Arts Link, 117570, Singapore

Received 17 January 2006; Revised 1 August 2006; Accepted 2 August 2006

Copyright © 2006 Wing-Keung Wong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Meyer (1987) extended the theory of mean-variance criterion to include the comparison among distributions that differ only by location and scale parameters and to include general utility functions with only convexity or concavity restrictions. In this paper, we make some comments on Meyer's paper and extend the results from Tobin (1958) that the indifference curve is convex upwards for risk averters, concave downwards for risk lovers, and horizontal for risk neutral investors to include the general conditions stated by Meyer (1987). We also provide an alternative proof for the theorem. Levy (1989) extended Meyer's results by introducing some inequality relationships between the stochastic-dominance and the mean-variance efficient sets. In this paper, we comment on Levy's findings and show that these relationships do not hold in certain situations. We further develop some properties among the first- and second-degree stochastic dominance efficient sets and the mean-variance efficient set.