Annals of Operations Research

, Volume 45, Issue 1, pp 205–220 | Cite as

A mean-absolute deviation-skewness portfolio optimization model

  • Hiroshi Konno
  • Hiroshi Shirakawa
  • Hiroaki Yamazaki


It is assumed in the standard portfolio analysis that an investor is risk averse and that his 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, we propose a practical scheme to obtain a portfolio with a large third moment under the constraints on the first and second moment. The problem we 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.


Optimization Model Programming Problem Scale Model Linear Programming Problem Portfolio Optimization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© J.C. Baltzer AG, Science Publishers 1993

Authors and Affiliations

  • Hiroshi Konno
    • 1
  • Hiroshi Shirakawa
    • 2
  • Hiroaki Yamazaki
    • 3
  1. 1.Institute of Human and Social SciencesTokyo Institute of TechnologyTokyoJapan
  2. 2.Institute of Socio-Economic PlanningUniversity of TsukubaTsukuba, IbarakiJapan
  3. 3.Department of Social EngineeringTokyo Institute of TechnologyTokyoJapan

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