Diskrete Copula Modelle bilden die Abhängigkeiten zwischen multiplen kategorialen Responses sowie die Einflüsse von Kovariablen auf die jeweiligen Responses ab. In einer Simulationsstudie soll das Verhalten von Schätzern diskreter Copula Modelle bei unterschiedlichen Strukturen der...

Measuring and displaying uncertainty around path-forecasts, i.e. forecasts made in period T about the expected trajectory of a random variable in periods T+1 to T+H is a key ingredient for decision making under uncertainty. The probabilistic assessment about the set of possible trajectories that...

Recently, a body of academic literature has focused on the area of stable distributions and their application potential for improving our understanding of the risk of hedge funds. At the same time, research has sprung up that applies standard Bayesian methods to hedge fund evaluation. Little or...

It is well known that credibility theory in discrete time is closely related to the discrete technique of Kalman filtering. In this paper we show the close relationship between credibility theory and filter theory in discrete and continuous time as well as between credibility theory in a...

In der November-Ausgabe 2005 des WIRTSCHAFTSDIENST hat Walter A. S. Koch die Schätzungen von Dominik H. Enste und Friedrich Schneider zur Größe der Schattenwirtschaft kritisch bewertet. Dr. Enste und Prof. Schneider stellen hier noch einmal ihre Schätzmethoden dar. Im Anschluss daran eine...

We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...

The polychoric correlation is an ML estimator for the correlation parameter between two latent variables. Each latent variable is only observed as an ordered categorical indicator. This estimator is based on an assumption on the joint distribution for the latent variables which in this case is...

We provide a method for distinguishing long-range dependence from deterministic trends such as structural breaks. The method is based on the comparison of standard log-periodogram regression estimation of the memory parameter with its tapered counterpart. The difference of these estimators...