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...

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 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,...

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...

We propose a new approach to model high and low frequency components of equity correlations. Our framework combines a factor asset pricing structure with other specifications capturing dynamic properties of volatilities and covariances between a single common factor and idiosyncratic returns....

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...

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...