EconPapers    
Economics at your fingertips  
 

The Disease Outbreak Channel of Exchange Rate Return Predictability: Evidence from COVID-19

Bernard Njindan Iyke

Emerging Markets Finance and Trade, 2020, vol. 56, issue 10, 2277-2297

Abstract: We provide novel evidence that disease outbreaks contain valuable information that can be used to enhance exchange rate return and volatility predictions. Our analysis exploits the novel coronavirus (COVID-19) outbreak as a good experimental setup to test our intuition. Data show that the COVID-19 outbreak has been rapid and deadly. Using the total number of infections per million, we demonstrate that COVID-19 has better predictive power over volatility than over returns for a one-day ahead forecast horizon. Conversely, COVID-19 tends to shape returns more than volatility over a five-day ahead forecast horizon. Our findings remain intact over the two forecast horizons using the total number of deaths per million as an alternative COVID-19 measure. This evidence supports a new channel of exchange rate return predictability, namely the disease outbreak channel.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (75)

Downloads: (external link)
http://hdl.handle.net/10.1080/1540496X.2020.1784718 (text/html)
Access to full text is restricted to subscribers.

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:mes:emfitr:v:56:y:2020:i:10:p:2277-2297

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/MREE20

DOI: 10.1080/1540496X.2020.1784718

Access Statistics for this article

More articles in Emerging Markets Finance and Trade from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-19
Handle: RePEc:mes:emfitr:v:56:y:2020:i:10:p:2277-2297