Equity index implied volatility functions are known to be excessively skewed in comparison with implied volatility at the single stock level. We study this stylized fact for the case of a major German stock index, the DAX, by recovering index implied volatility from simulating the 30-dimensional...

We test for causality between inflation and its associated uncertainty by means of both in-sample and out-of-sample modelling. Our findings indicate that the impact of inflation on inflation uncertainty is more pronounced than the reverse causal effect.

Multivariate Volatility Models belong to the class of nonlinear models for financial data. Here we want to focus on multivariate GARCH models. These models assume that the variance of the innovation distribution follows a time dependent process conditional on information which is generated by...

We study the impact of the introduction of the European Monetary Union on inflation uncertainty. Two groups of economies, one consisting of three European Union members which are not part of the EMU and one of six OECD member economies, are used as control groups to contrast the effects of...

During recent years, large trade- and budget deficits have accumulated especially in advanced economies. This study examines if this coincidence actually reflects a causal relation. Economic theory and previously documented findings on causality between trade and government balances are...

Evidence on the causality between finance and growth is largely inconclusive. In this study, a large cross-sectional data set of 74 economies for the period between 1975 and 2005 is examined. We summarise evidence from in-sample and out-of-sample causality tests based on rolling estimation...

Structural vector autoregressive analysis aims to trace the contemporaneous linkages among (macroeconomic) variables back to underlying orthogonal structural shocks. In homoskedastic Gaussian models the identification of these linkages deserves external and typically notdata-based information....

Multivariate Volatility Models belong to the class of nonlinear models for financial data. Here we want to focus on multivariate GARCH models. These models assume that the variance of the innovation distribution follows a time dependent process conditional on information which is generated by...