In this paper, we propose the use of static and dynamic copulas to study the leverage effect in the S&P 500 index. Copula models can conveniently separate the leverage effect from the marginal distributions of the return and its volatility. Daily volatility is proxied by a measure of realized...

Volatility clustering is a well-known stylized feature of financial asset returns. This paper investigates asymmetric pattern in volatility clustering by employing a univariate copula approach of Chen and Fan (2006). Using daily realized kernel volatilities constructed from high frequency data...

A copula approach is adopted to examine the extreme return-volume relationship in six emerging East-Asian equity markets. The empirical results indicate that the return-volume dependence is significant and asymmetric at extremes for all six East-Asian markets. In particular extremely high...

In this paper, we examine the integration of international financial markets. The integration of financial markets across countries and across asset classes is assumed to hold in most empirical studies, but has only been tested for certain countries and certain asset classes. We test for the...

This paper investigates the dependence structure between the equity market and the foreign exchange market by using copulas. In particular, several copulas with different dependence structure are compared and used to directly model the underlying dependence structure. We find that there exists...

This paper investigates the dependence structure between the real Canadian stock returns and the real USD/CAD exchange rate returns, using the Symmetrized Joe-Clayton (SJC) copula function. We estimate the SJC copula with monthly data over the period 1995:1 to 2006:12. Our results show...