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Understanding exchange rate shocks during COVID-19

Using a dynamic VAR model fitted to hourly data, we evaluate the evolution of spillover shocks from exchange rates returns of EURO, Yen, CAD and GBP. We find that over the COVID-19 sample: (a) total exchange rate shock spillovers explain around 37.7% of the forecast error variance in the exchange ra...

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Autor principal: Narayan, Paresh Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8856892/
https://www.ncbi.nlm.nih.gov/pubmed/35221819
http://dx.doi.org/10.1016/j.frl.2021.102181
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author Narayan, Paresh Kumar
author_facet Narayan, Paresh Kumar
author_sort Narayan, Paresh Kumar
collection PubMed
description Using a dynamic VAR model fitted to hourly data, we evaluate the evolution of spillover shocks from exchange rates returns of EURO, Yen, CAD and GBP. We find that over the COVID-19 sample: (a) total exchange rate shock spillovers explain around 37.7% of the forecast error variance in the exchange rate market compared to only 26.1% in the pre-COVID-19 period; and (b) exchange rate own shocks explain between 56% to 75% of own exchange rate movements. These results hold in multiple robustness tests. The implication is that exchange rates predict most of their own changes. We confirm this through an economic significance test where we show that the shock spillovers predict exchange rate returns and these predicted exchange rates can be useful in extracting buy and sell trading signals.
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spelling pubmed-88568922022-02-22 Understanding exchange rate shocks during COVID-19 Narayan, Paresh Kumar Financ Res Lett Article Using a dynamic VAR model fitted to hourly data, we evaluate the evolution of spillover shocks from exchange rates returns of EURO, Yen, CAD and GBP. We find that over the COVID-19 sample: (a) total exchange rate shock spillovers explain around 37.7% of the forecast error variance in the exchange rate market compared to only 26.1% in the pre-COVID-19 period; and (b) exchange rate own shocks explain between 56% to 75% of own exchange rate movements. These results hold in multiple robustness tests. The implication is that exchange rates predict most of their own changes. We confirm this through an economic significance test where we show that the shock spillovers predict exchange rate returns and these predicted exchange rates can be useful in extracting buy and sell trading signals. Elsevier Inc. 2022-03 2021-05-30 /pmc/articles/PMC8856892/ /pubmed/35221819 http://dx.doi.org/10.1016/j.frl.2021.102181 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Narayan, Paresh Kumar
Understanding exchange rate shocks during COVID-19
title Understanding exchange rate shocks during COVID-19
title_full Understanding exchange rate shocks during COVID-19
title_fullStr Understanding exchange rate shocks during COVID-19
title_full_unstemmed Understanding exchange rate shocks during COVID-19
title_short Understanding exchange rate shocks during COVID-19
title_sort understanding exchange rate shocks during covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8856892/
https://www.ncbi.nlm.nih.gov/pubmed/35221819
http://dx.doi.org/10.1016/j.frl.2021.102181
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