Controllability of longer-term interest rates requires that the persis-tence of their deviations from the central bank's policy rate (i.e. thepolicy spreads) remains suffciently low. This paper applies fractionalintegration techniques to assess the persistence of policy spreads ofeuro area money...

This paper proposes a novel approach to the combination of conditional covariancematrix forecasts based on the use of the Generalized Method of Moments (GMM). Itis shown how the procedure can be generalized to deal with large dimensional systemsby means of a two-step strategy. The finite sample...

This paper investigates the intraday response of T-bond futures pricesto surprises in headline figures of U.S. macroeconomic reports. Analyzing thetime series properties and the information content of the macroeconomic newsflow, the paper seeks an answer to the question, what determines the...

We analyze if and to what extent fundamental macroeconomic factors, temporary influencesor more structural factors have contributed to the low levels of US bond yields over the lastfew years. For that purpose, we start with a general model of interest rate determination. Theempirical part...

In this papaer, we put DSGE forecasts in competition with factor forecasts. We focus on these two models since they represent nicely the two opposing forecasting philosophies. The DSGE model on the one hand has a strong theoretical economic background; the factor model on the other hand is mainly...

Forecasting the world economy is a di¢ cult task given the complex interre-lationships within and across countries. This paper proposes a number ofapproaches to forecast short-term changes in selected world economic vari-ables and aims, …rst, at ranking various forecasting methods in terms...

Die Untersuchung verfolgt das Ziel, Effekte des Einsatzes eines PPP-Modells im Schulbetrieb auf dieNutzer am Beispiel ausgewählter Offenbacher Schulen zu identifizieren. Zu diesem Zweck musste eineüber die rein wirtschaftliche Nutzenperspektive des PPP-Models, wie sie in der bisherigen...

We used neural-network based modelling to generalize the linear econometric return models and compare their out-of-sample predictive ability in terms of different performance measures under three density specifications.(...)

The estimation of multivariate GARCH models remains a challenging task, even in modern computer environments. This manuscript shows how Independent Component Analysiscan be used to estimate the Generalized Orthogonal GARCH model in a fraction of the time otherwise required. The proposed method...

We consider the modelling of rare events in financial time series,and introduce a marked point process model for the excesses of thetime series over a high threshold that combines a self-exciting processfor the exceedances with a mark (size) dependent process. This allowsrealistic models for...