This paper examines the differences in the asset return comovement of the BRIC countries (Brazil, Russia, India and China), the other developed economies in their regions (Canada, Hong Kong and Australia) and the major industrialized economies (the U.K., Germany and Japan) with respect to the...

We proceed to an impulse response analysis on the conditional correlations between three stock indices returns: the Nikkei, the FTSE 100 and the S&P 500. As a first step, we estimate an extension of the general asymmetric dynamic conditional correlation (GADCC) model proposed by Cappiello,...

We study the variation of sovereign credit default swaps (CDSs) of eurozone countries, their persistence and co-movements, with particular attention given to the impact of the financial crisis. Specifically, using a dual fractional integration model, we test the evidence of long memory for CDSs...

This paper uses sovereign CDS spread changes and their volatilities as a proxy for the informational efficiency of the sovereign markets and persistency of country risks. Specifically, we apply semi-parametric and parametric methods to the sovereign CDSs of 10 eurozone countries to test the...

Ce texte fait le point sur l'état des connaissances théoriques et empiriques quant aux différentiels de taux d/intérêt (et autres déviations par rapport aux conditions internationales de non-arbitrage). Il met particulièrement l'accent sur ce que ces différentiels peuvent nous apprendre...

In this paper we put forward a generalization of the Dynamic Conditional Correlation (DCC) Model of Engle (2002). Our model allows for asset-specific correlation sensitivities, which is useful in particular if one aims to summarize a large number of asset returns. The resultant GDCC model is...

One of the most widely-used multivariate conditional volatility models is the dynamic conditional correlation (or DCC) specification. However, the underlying stochastic process to derive DCC has not yet been established, which has made problematic the derivation of asymptotic properties of the...

One of the most widely-used multivariate conditional volatility models is the dynamic conditional correlation (or DCC) specification. However, the underlying stochastic process to derive DCC has not yet been established, which has made problematic the derivation of asymptotic properties of the...

One of the most widely-used multivariate conditional volatility models is the dynamic conditional correlation (or DCC) specification. However, the underlying stochastic process to derive DCC has not yet been established, which has made problematic the derivation of asymptotic properties of the...

GARCH models have been extensively used in risk modeling under the normal distribution. Although they generate highly significant coefficient estimates, these models are known to have poor forecasting power. It is therefore interesting to develop a different approach of risk modeling to improve...