Abstract

ARCOS MORA, Mauricio; BENAVIDES FRANCO, Julián  and  BERGGRUN PRECIADO, Luis. Optimal portfolio allocation for Latin American stock indices. Cuad. Adm. [online]. 2010, vol.23, n.40, pp.191-214. ISSN 0120-3592.

This article uses four methods to derive optimal portfolios comprising investments in the seven most representative stock exchanges in Latin America from 2001 to 2006 and it studies their composition and stability through time. The first method uses a historical variance - covariance matrix and the second one employs a semi-variance -semi-covariance matrix. The third method consists of an exponentially weighted moving average and the fourth and last method applies resampling. From a practical point of view, this result is significant because less rebalancing can mean greater potential savings. The article further analyzes the performance of optimal portfolios as compared to equally weighted portfolios. The results of applying the Sharpe ratio in the out-of-sample period provided no evidence of statistically significant differences between optimal portfolios and equally weighted portfolios. However, some evidence is provided in favor of resampling as the returns obtained in the out-of-sample period showed stochastic dominance over the returns of the portfolios estimated using more traditional methodologies.

Keywords : Optimal portfolios; portfolio resampling; stochastic dominance; Latin America.

        · abstract in Spanish | Portuguese     · text in English     · English ( pdf )