Application of Taylor Rule Fundamentals in Forecasting Exchange Rates
Joseph Agyapong
Additional contact information
Joseph Agyapong: Faculty of Business, Economics and Social Sciences, Christian-Albrechts-University of Kiel, Olshausenstr. 40, D-24118 Kiel, Germany
Economies, 2021, vol. 9, issue 2, 1-27
Abstract:
This paper examines the effectiveness of the Taylor rule in contemporary times by investigating the exchange rate forecastability of selected four Organisation for Economic Co-operation and Development (OECD) member countries vis-à-vis the U.S. It employs various Taylor rule models with a non-drift random walk using monthly data from 1995 to 2019. The efficacy of the model is demonstrated by analyzing the pre- and post-financial crisis periods for forecasting exchange rates. The out-of-sample forecast results reveal that the best performing model is the symmetric model with no interest rate smoothing, heterogeneous coefficients and a constant. In particular, the results show that for the pre-financial crisis period, the Taylor rule was effective. However, the post-financial crisis period shows that the Taylor rule is ineffective in forecasting exchange rates. In addition, the sensitivity analysis suggests that a small window size outperforms a larger window size.
Keywords: Taylor rule fundamentals; exchange rate; out-of-sample; forecast; random walk; directional accuracy; financial crisis (search for similar items in EconPapers)
JEL-codes: E F I J O Q (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2227-7099/9/2/93/pdf (application/pdf)
https://www.mdpi.com/2227-7099/9/2/93/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jecomi:v:9:y:2021:i:2:p:93-:d:579027
Access Statistics for this article
Economies is currently edited by Ms. Hongyan Zhang
More articles in Economies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().