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Symmetric Versus Asymmetric Conditional Covariance Forecasts: Does It Pay To Switch?

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Author Info
Susan Thorp
George Milunovich

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Abstract

Volatilities and correlations for equity markets rise more after negative returns shocks than after positive shocks. Allowing for these asymmetries in covariance forecasts decreases mean-variance portfolio risk and improves investor welfare. We compute optimal weights for international equity portfolios using predictions from asymmetric covariance forecasting models and a spectrum of expected returns. Investors who are moderately risk averse, have longer rebalancing horizons, and hold U.S. equities benefit most and may be willing to pay around 100 basis points annually to switch from symmetric to asymmetric forecasts. Accounting for asymmetry in both variances and correlations significantly lowers realized portfolio risk. 2007 The Southern Finance Association and the Southwestern Finance Association.

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File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1475-6803.2007.00218.x
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Publisher Info
Article provided by Southern Finance Association and Southwestern Finance Association in its journal Journal of Financial Research.

Volume (Year): 30 (2007)
Issue (Month): 3 ()
Pages: 355-377
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Handle: RePEc:bla:jfnres:v:30:y:2007:i:3:p:355-377

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This page was last updated on 2009-11-22.


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