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Optimal Portfolio Allocation Under Higher Moments

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Author Info
Jondeau, E.
Rockinger, M.
Abstract

We evaluate how departure from normality may affect the allocation of assets. A Taylor series expansion of the expected utility allows to focus on certain moments and to compute numerically the optimal portfolio allocation. A decisive advantage of this approach is that it remains operational even if a large number of assets is involved. We show that under moderate non-normality the mean-variance criterion provides a good approximation of the expected utility maximization. In contrast, under large departure from normality (as found in some stocks in mature markets or in some stock indices in emerging markets), the mean-variance criterion may fail to approximate the expected utility correctly. In such cases, the three-moment or four-moment optimization strategies may provide a good approximation of the expected utility.

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Publisher Info
Paper provided by Banque de France in its series Documents de Travail with number 108.

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Length: 39 pages
Date of creation: 2004
Date of revision:
Handle: RePEc:bfr:banfra:108

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Related research
Keywords: Asset allocation ; Stock returns ; Non-normality ; Utility function;

Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
G12 - Financial Economics - - General Financial Markets - - - Asset Pricing

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