This paper studies the nature of spillover effects in bank lending flows from advanced to the emerging market economies and identifies specific channels through which such effects occur. Based on a gravity model we examine a panel data set on cross-border bank flows from 17 advanced to 28...

The global financial crisis has brought to an end a rather unprecedented period of banks' international expansion. We analyze the effects of the crisis on international banking. Using a detailed dataset on the international assets of all German banks with foreign affiliates for the years...

Given the large trade and current account deficits in some of the new EU member states the development of their external economic situation plays a role in assessing their aptitude to enter the European Monetary Union. The empirical analysis with aggregated data indicates that in the eight...

The carry-over effect is the advance contribution of the old year to growth in the new year. Among practitioners the informative content of the carry-over effect for short-term forecasting is undisputed and is used routinely in economic forecasting. In this paper, the carry-over effect is...

Recently, several institutions have increased their forecast horizons, and many institutions rely on their past forecast errors to estimate measures of forecast uncertainty. This work addresses the question how the latter estimation can be accomplished if there are only very few errors available...

This paper compares two single-equation approaches from the recent nowcast literature: Mixed-data sampling (MIDAS) regressions and bridge equations. Both approach are used to nowcast a low-frequency variable such as quarterly GDP growth by higher-frequency business cycle indicators. Three...

Mixed-data sampling (MIDAS) regressions allow to estimate dynamic equations that explain a low-frequency variable by high-frequency variables and their lags. When the difference in sampling frequencies between the regressand and the regressors is large, distributed lag functions are typically...

We propose a classical approach to estimate factor-augmented vector autoregressive (FAVAR) models with time variation in the factor loadings, in the factor dynamics, and in the variance-covariance matrix of innovations. When the time-varying FAVAR is estimated using a large quarterly dataset of...

To assess the Bank of England Monetary Policy Committee decisions about the Official Bank Rate under forecast uncertainty, I estimate simple forecast-based interest rate rules augmented by the forecast standard deviations recovered directly from the Inflation Report fan charts. I find that...

The evaluation of multi-step-ahead density forecasts is complicated by the serial correlation of the corresponding probability integral transforms. In the literature, three testing approaches can be found which take this problem into account. However, these approaches can be computationally...