Article ID: | iaor1994846 |
Country: | Switzerland |
Volume: | 45 |
Issue: | 1/4 |
Start Page Number: | 205 |
End Page Number: | 220 |
Publication Date: | Dec 1993 |
Journal: | Annals of Operations Research |
Authors: | Konno Hiroshi, Shirakawa Hiroshi, Yamazaki Hiroaki |
Keywords: | risk, programming: linear |
It is assumed in the standard portfolio analysis that an investor is risk averse and that his/her utility is a function of the mean and variance of the rate of the return of the portfolio or can be approximated as such. It turns out, however, that the third moment (skewness) plays an important role if the distribution of the rate of return of assets is asymmetric around the mean. In particular, an investor would prefer a portfolio with larger third moment if the mean and variance are the same. In this paper, the authors propose a practical scheme to obtain a portfolio with a large third moment under the constraints on the first and second moment. The problem they need to solve is a linear programming problem, so that a large scale model can be optimized without difficulty. It is demonstrated that this model generates a portfolio with a large third moment very quickly.