Measuring Comovements by Regression Quantiles
50 Pages Posted: 28 Jul 2005
Date Written: July 2005
This paper develops a rigorous econometric framework to investigate the structure of codependence between random variables and to test whether it changes over time. Our approach is based on the computation - over both a test and a benchmark period - of the conditional probability that a random variable yt is lower than a given quantile, when the other random variable xt is also lower than its corresponding quantile, for any set of prespecified quantiles. Time-varying conditional quantiles are modeled via regression quantiles. The conditional probability is estimated through a simple OLS regression. We illustrate the methodology by investigating the impact of the crises of the 1990s on the major Latin American equity markets returns. Our results document significant increases in equity return co-movements during crises consistent with the presence of financial contagion.
Keywords: codependence, semi-parametric, conditional quantiles
JEL Classification: C14, C22, G15
Suggested Citation: Suggested Citation