Climate change poses huge challenges for the financial sector, too. The Bundesbank supports the transition to a low-carbon economy.
A digital euro would be a digital form of central bank money, specifically the euro. It could be used by the general public in much the same way as cash, only in virtual form. Alongside cash, the Eurosystem would thus supply households with an additional form of central bank money that can be used quickly, easily and securely.
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.
As an employer, we are committed to putting our employees first, because our success is founded on their knowledge, their skills and their contributions. Find out more about the Bundesbank as an employer.
You can download MATLAB codes for selected papers at the end of this website.
2022 | Journal of Applied Econometrics, Vol. 37(1), pp. 23-41.
2021 | Journal of Applied Econometrics, Vol. 36(4), pp. 369-392.
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), pp. 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.
2017 | Book Review, Jahrbücher für Nationalökonomie und Statistik.
2007 | in: U. Heilemann and C. Weihs (eds.), Classification and Clustering in Business Cycle Analysis, Duncker & Humbolt, Berlin.
