The uncovered interest parity puzzle, exchange rate forecasting, and Taylor rules
Charles Engel,
Dohyeon Lee,
Chang Liu,
Chenxin Liu and
Steve Pak Yeung Wu
Journal of International Money and Finance, 2019, vol. 95, issue C, 317-331
Abstract:
Recent research has found that the Taylor-rule fundamentals have power to forecast changes in U.S. dollar exchange rates out of sample. Our work casts some doubt on that claim. However, we find strong evidence of a related in-sample anomaly. When we include U.S. inflation in the well-known uncovered interest parity regression of the change in the exchange rate on the interest-rate differential, we find that the inflation variable is highly significant and the interest-rate differential is not. Specifically, high U.S. inflation in one month forecasts dollar appreciation in the subsequent month. We introduce a model in which a Taylor rule determines monetary policy, but in which not only monetary shocks but also liquidity shocks drive nominal interest rates. This model can potentially account for the empirical findings.
Keywords: Uncovered interest parity puzzle; Exchange rate forecasting; Taylor rules; Liquidity (search for similar items in EconPapers)
JEL-codes: F3 F31 F41 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (35)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0261560618301578
Full text for ScienceDirect subscribers only
Related works:
Working Paper: The Uncovered Interest Parity Puzzle, Exchange Rate Forecasting, and Taylor Rules (2017) 
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:eee:jimfin:v:95:y:2019:i:c:p:317-331
DOI: 10.1016/j.jimonfin.2018.03.008
Access Statistics for this article
Journal of International Money and Finance is currently edited by J. R. Lothian
More articles in Journal of International Money and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().