期刊
ANNALS OF OPERATIONS RESEARCH
卷 132, 期 1-4, 页码 157-187出版社
KLUWER ACADEMIC PUBL
DOI: 10.1023/B:ANOR.0000045281.41041.ed
关键词
robust optimization; mean-variance optimization; saddle-point problems
This article addresses the problem of finding an optimal allocation of funds among different asset classes in a robust manner when the estimates of the structure of returns are unreliable. Instead of point estimates used in classical mean-variance optimization, moments of returns are described using uncertainty sets that contain all, or most, of their possible realizations. The approach presented here takes a conservative viewpoint and identifies asset mixes that have the best worst-case behavior. Techniques for generating uncertainty sets from historical data are discussed and numerical results that illustrate the stability of robust optimal asset mixes are reported.
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