Emerging Market Return Pricing : An Intertemporal and Interquantile Approach

The objective of this study is to analyze the return pricing dynamics in six Latin American countries based on the ICAPM model of Merton (1973) and Bekaert and Harvey (1995). We analyze Argentina, Brazil, Chile, Colombia, Mexico and Peru market return and a world market proxy return as a measure of systematic risk. However, instead of traditional covariance, we used the Dynamic Conditional Correlation (DCC) model of Engle (2002) to measure the volatility correlation between each Latin market and the world market. We based the DCC model on marginal volatilities estimated by the GJR-GARCH model (Glosten, Jagannathan and Runkle, 1993), using a copula function. The copula-DCC-GARCH model was proposed with a financial application by Jondeau & Rockinger (2006). The univariate volatility and an autoregressive vector were also included as independent variables in the model, which coefficients were estimated by quantile regression. The results reveal a breakthrough because the model can capture relationships that were previously masked by the coefficients steadiness and by the lack of consideration over the differences in extreme quantiles pricing. In the lower quantile, negative risk premium was found, reflecting the leverage effect. Furthermore, we found that the quantile correlation coefficients between each market return proxy and the world return proxy were not significant, i.e, only the market own risk is priced, what indicates that Latin markets may present a good diversification opportunity