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Persistent link: https://www.econbiz.de/10012003158
This paper examines the consequences of using "real-time" data for business cycle analysis in Germany based on a novel …
Persistent link: https://www.econbiz.de/10005083158
We report results on the ex ante predictability of monthly excess stock returns in Germany using real-time and revised …
Persistent link: https://www.econbiz.de/10005083182
We introduce an innovative theoretical framework for the valuation and replication of derivative transactions between defaultable entities based on the principle of arbitrage freedom. Our framework extends the traditional formulations based on credit and debit valuation adjustments (CVA and...
Persistent link: https://www.econbiz.de/10010957120
Does the state of the business cycle matter for the effects of fiscal policy shocks on GDP? This study analyses quarterly German data from 1976 to 2009 in a threshold SVAR, expanding the SVAR approach by Blanchard and Perotti (2002). In a linear benchmark SVAR, the analysis finds that hiking...
Persistent link: https://www.econbiz.de/10009372153
impact of three sources of the demographic dependence of inflation expectations using data for Germany. Overall, our findings …
Persistent link: https://www.econbiz.de/10010957123
Efficiency is considered a key factor when evaluating a bank's performance. Moreover, efficiency enhancement is an explicit policy objective in the Single Market Directive of the European Commission. But efficiency improvements may come at the expense of deteriorating bank profits and excessive...
Persistent link: https://www.econbiz.de/10005082751
used a new dataset on monthly real-time macroeconomic variables for Germany. The dataset covers the period 1994-2005. We …
Persistent link: https://www.econbiz.de/10005082771
forecast evaluation framework as a simple alternative to other approaches. In simulation experiments and an empirical …
Persistent link: https://www.econbiz.de/10005083070
This paper considers Bayesian regression with normal and doubleexponential priors as forecasting methods based on large panels of time series. We show that, empirically, these forecasts are highly correlated with principal component forecasts and that they perform equally well for a wide range...
Persistent link: https://www.econbiz.de/10005083173