Article ID: | iaor20031008 |
Country: | Germany |
Volume: | 55 |
Issue: | 2 |
Start Page Number: | 165 |
End Page Number: | 185 |
Publication Date: | Jan 2002 |
Journal: | Mathematical Methods of Operations Research (Heidelberg) |
Authors: | Tokat Y., Schwartz E.S. |
This paper analyzes the asset allocation problem of an investor who can invest in equity and cash when there is time variation in expected returns on the equity. The solution methodology is multistage stochastic asset allocation problem with decision rules. The uncertainty is modeled using economic scenarios with Gaussian and stable Paretian non-Gaussian innovations. The optimal allocations under these alternative hypotheses are compared. Our computational results suggest that asset allocation may be up to 20% different depending on the utility function and the risk aversion level of the investor. Certainty equivalent return can be increased up to .13% and utility can be improved up to .72% by switching to the stable Paretian model.