Recent portfolio choice asset pricing and option valuation models highlight the importance of skewness and kurtosis. Since skewness and kurtosis are related to extreme variations they are also important for Value-at-Risk measurements. Our framework builds on a GARCH model with a condi-tional...

We develop a new methodology that measures conditional dependency. We achieve this by using copula functions that link marginal distributions, here chosen to obey a GARCH-type model with time-varying skewness and kurtosis. We apply this model to daily returns of stock-market indices. We find...

In order to analyse the interest rate transmission mechanism, we study daily Euro-rates term structure for the US, Germany, and the UK between 1983 and 1997. We estimate multivariate VECM-GARCH models, which take into account moste of the usual features of financial data (non-stationarity,...

Building on work about stock markets in industrialized countries, we analyze volatility of stock returns in South-East Asia using the ARCH methodology. Our goal is to highlight specific features of Asian stock market, concerning the statistical properties of returns as well as the volatility...

Correlations between international equity markets are often claimed to increase during periods of high volatility, therefore the benefits of international diversification are reduced when they are most needed, i.e. during crises. In this paper, we investigate the relationship between...

Using daily data covering the 1988-1995 period, this paper checks the effects of three kinds of determinants on the main stock market indices of the G5: interactions between return and volatility, international transmission mechanisms and impact of trading volumes. The non-significance of...