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Industry volatility and economic uncertainty due to the COVID-19 pandemic: Evidence from wavelet coherence analysis

Authors
Choi, S.-Y.
Issue Date
Nov-2020
Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
Keywords
COVID-19; Economic uncertainty; Globalfinancial crisis; Sector volatility; Wavelet coherence analysis
Citation
FINANCE RESEARCH LETTERS, v.37
Journal Title
FINANCE RESEARCH LETTERS
Volume
37
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/79722
DOI
10.1016/j.frl.2020.101783
ISSN
1544-6123
Abstract
This study investigates the impact of economic uncertainty due to the coronavirus (COVID-19) pandemic on the industrial economy in the US in terms of the interdependence and causality relationship. We apply wavelet coherence analysis to economic policy uncertainty (EPU) data and monthly sector volatility of the S&P 500 index from January 2008 to May 2020. The results reveal that EPU in terms of COVID-19 has influenced the sector volatility more than the global financial crisis (GFC) for all sectors. Furthermore, EPU leads the volatility of all sectors during COVID-19 pandemic, while some sector's volatilities lead EPU during the GFC. © 2020 Elsevier Inc.
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Business Administration (금융·빅데이터학부)
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