Daily Monetary Policy Rules and the ECB's Medium-Term Orientation
Jens Klose ()
MAGKS Papers on Economics from Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung)
This article develops the first granular database on daily real-time inflation rates and output. Four different European forecast sources and three computation methods are applied to calculate those daily data. These are used in two types of monetary policy rules, for three different interest rates as the dependent variable. The results indicate that the main source of differences in the forecast horizons and response coeffcients is not the data sources or the computation method but, rather, the monetary policy rule applied and the interest rate used. That is, the results differ if unconventional monetary policies are considered. Moreover, the results tend to be time-varying; that is, sudden shifts in the optimal forecast horizon can be identified, leading to substantially altered policy rules.
Keywords: Monetary policy rules; ECB; medium-term orientation (search for similar items in EconPapers)
JEL-codes: E52 E58 (search for similar items in EconPapers)
Pages: 63 pages
New Economics Papers: this item is included in nep-cba, nep-eec, nep-isf, nep-mac and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
https://www.uni-marburg.de/en/fb02/research-groups ... rs/29-2021_klose.pdf First 202129 (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:mar:magkse:202129
Access Statistics for this paper
More papers in MAGKS Papers on Economics from Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung) Contact information at EDIRC.
Bibliographic data for series maintained by Bernd Hayo ().