Abstract

 


 



Portfolio Selection with Commodities Under Conditional Copulas and Skew Preferences


Carlos González-Pedraz


Universidad Carlos III de Madrid

Manuel Moreno


University of Castilla-La Mancha

Juan Ignacio Peña


Universidad Carlos III de Madrid - Department of Business Administration

November 19, 2012


Abstract:     
This article investigates the portfolio selection problem of an investor with three-moment preferences taking positions in commodity futures. To model the asset returns, we propose a conditional asymmetric t copula with skewed and fat-tailed marginal distributions, such that we can capture the impact on optimal portfolios of time-varying moments, state-dependent correlations, and tail and asymmetric dependence. In the empirical application with oil, gold, and equity data from 1990 to 2010, the conditional t copulas portfolios achieve better performance than those based on more conventional strategies. The specification of higher moments in the marginal distributions and the type of tail dependence in the copula have significant implications for the out-of-sample portfolio performance.

Number of Pages in PDF File: 40

Keywords: Portfolio selection, commodity futures, conditional copulas, skew preferences

JEL Classification: C46, G11, G13

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Date posted: April 19, 2012 ; Last revised: November 19, 2012

Suggested Citation

González-Pedraz, Carlos, Moreno, Manuel and Peña, Juan Ignacio, Portfolio Selection with Commodities Under Conditional Copulas and Skew Preferences (November 19, 2012). Available at SSRN: http://ssrn.com/abstract=2041465 or http://dx.doi.org/10.2139/ssrn.2041465

Contact Information

Carlos González-Pedraz (Contact Author)
Universidad Carlos III de Madrid ( email )
Calle Madrid 126
Getafe, Madrid 28903
Spain
Manuel Moreno Fuentes
University of Castilla-La Mancha ( email )
Cobertizo San Pedro Martir s/n
Toledo, Toledo 45071
Spain
Juan Ignacio Peña
Universidad Carlos III de Madrid - Department of Business Administration ( email )
Calle Madrid 126
Getafe, Madrid, Madrid 28903
Spain
34 91 624 9625 (Phone)
34 91 624 9608 (Fax)
Feedback to SSRN (Beta)


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