What do birds have to do with monetary policy? More than you think! Pigeons stand for a more relaxed monetary policy. Falcons are more likely to represent a more stringent monetary policy. Why they can also be seen in the Money Museum, explains presenter Silviana Ursu in the last part of our series from the Money Museum.
With regard to establishing a new or expanding an already existing entity domiciled in Germany, the German supervisory authorities stand ready to discuss the pertinent issues.
The Bundesbank provides a new procedure for the automated download of statistical data sets. The web service offers an interface for programmatic access.
The Bundesbank’s up-to-date statistical data in the form of time series (also available to download as a CSV file or SDMX-ML file).
Here you will find information on the bank sort code file and on the bank sort code update service. You can also download the bank sort code files.
In the press area, you will find press releases, speeches, guest contributions and interviews with Bundesbank Executive Board members as well as further press materials.
The Bundesbank published various studies and conference proceedings, resulting from the research activities of its employees and guest researchers.
With the dual bachelor's degree in applied computer science, we offer an attractive career in the world of information technology.
You can download MATLAB codes for selected papers at the end of this website.
Journal of Applied Econometrics, forthcoming.
2019 | International Journal of Forecasting, Vol. 35(4), pp. 1748-1769.
2018 | International Journal of Forecasting, Vol. 34(1), pp. 105-116.
2017 | Empirical Economics, Vol. 53(1), pp. 195-215.
2015 | Journal of Business & Economic Statistics, Vol. 33(2), pp. 270-281.
2014 | Macroeconomic Dynamics, Vol. 18(1), pp. 65-92.
2014 | International Journal of Forecasting, Vol. 30(2), pp. 257-267.
2013 | International Journal of Forecasting, Vol. 29(3), 456-468.
2012 | International Journal of Central Banking, Vol. 8(3), pp. 87-139.
2009 | Journal of Business & Economic Statistics, Vol. 27(4), pp. 544-552.
2007 | in: U. Heilemann and C. Weihs (eds.), Classification and Clustering in Business Cycle Analysis, Duncker & Humbolt, Berlin.
