Die Kenntnis der Verteilungs- und Zeitreiheneigenschaften von Wertpapierpreisen ist eine wesentliche Voraussetzung für Modelle zur Bewertung von Finanztiteln. Dabei stellt sich die Frage, ob die Berücksichtigung des Handelsvolumens zu zusätzlichen Erkenntnissen über das stochastische...

Using a novel four-phase model based upon a conditional autoregressive Wishart framework for realized variances and covariances we quantify intra-daily volatility spillovers within and across the US, German and Japanese stock markets before and during the subprime crisis. We find significant...

We propose a dynamic factor model for the analysis of multivariate time series count data. Our model allows for idiosyncratic as well as common serially correlated latent factors in order to account for potentially complex dynamic interdependence between series of counts. The model is estimated...

A flexible importance sampling procedure for the likelihood evaluation of dynamic latent variable models involving mixtures of distributions leading to possibly heavy tailed or multi-modal target densities is provided. The procedure is based upon the efficient importance sampling (EIS) approach...