Business Cycles and Currency Returns
Riccardo Colacito,
Steven J. Riddiough and
Lucio Sarno
No 26299, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
We find a strong link between currency excess returns and the relative strength of the business cycle. Buying currencies of strong economies and selling currencies of weak economies generates high returns both in the cross section and time series of countries. These returns stem primarily from spot exchange rate predictability, are uncorrelated with common currency investment strategies, and cannot be understood using traditional currency risk factors in either unconditional or conditional asset pricing tests. We also show that a business cycle factor implied by our results is priced in a broad currency cross section.
JEL-codes: F31 G12 G15 (search for similar items in EconPapers)
Date: 2019-09
New Economics Papers: this item is included in nep-ifn and nep-opm
Note: IFM
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Published as Riccardo Colacito & Steven J. Riddiough & Lucio Sarno, 2020. "Business cycles and currency returns," Journal of Financial Economics, vol 137(3), pages 659-678.
Downloads: (external link)
http://www.nber.org/papers/w26299.pdf (application/pdf)
Related works:
Journal Article: Business cycles and currency returns (2020) 
Working Paper: Business Cycles and Currency Returns (2019) 
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:nbr:nberwo:26299
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w26299
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().