Variable Selection for Portfolio Choice

Yacine Ait-Sahalia and Michael W. Brandt

No 8127, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: We study asset allocation when the conditional moments of returns are partly predictable. Rather than first model the return distribution and subsequently characterize the portfolio choice, we determine directly the dependence of the optimal portfolio weights on the predictive variables. We combine the predictors into a single index that best captures time-variations in investment opportunities. This index helps investors determine which economic variables they should track and, more importantly, in what combination. We consider investors with both expected utility (mean-variance and CRRA) and non-expected utility (ambiguity aversion and prospect theory) objectives and characterize their market-timing, horizon effects, and hedging demands.

JEL-codes: C43 G11 (search for similar items in EconPapers)
Date: 2001-02
Note: AP
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (192)

Published as "Variability Selection for Portfolio Choice", Journal of Finance, Vol. 56,pp. 1297-1351 (2001).

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Journal Article: Variable Selection for Portfolio Choice (2001)
Working Paper: Variable Selection for Portfolio Choice (2001)
Working Paper: Variable Selection for Portfolio Choice (2001)
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