Artikel

The effect of COVID-19 on the relationship between idiosyncratic volatility and expected stock returns

This study examines the effect of the COVID-19 pandemic on the relationship between idiosyncratic volatility and expected stock returns. Using daily stock return data in the US market from the Center for Research in Security Prices (CRSP), we estimate monthly idiosyncratic volatility and investigate the effect of the COVID-19 pandemic at the portfolio and firm level. The results of portfolio analysis and cross-sectional regression show that the relationship between idiosyncratic volatility and subsequent stock returns switches from negative to positive during the pandemic period. Furthermore, we find that the relationship is robust to skewness for the "before the pandemic" and "after pandemic" periods. On the contrary, when we control for the one-month return reversal, the effect of idiosyncratic volatility on the subsequent stock returns becomes insignificant in both periods. Therefore, the short-term return reversal effect is the underlying reason for the relationship switching from negative to positive in the pandemic period. Our results are beneficial for investors and researchers.

Sprache
Englisch

Erschienen in
Journal: Risks ; ISSN: 2227-9091 ; Volume: 10 ; Year: 2022 ; Issue: 3 ; Pages: 1-11 ; Basel: MDPI

Klassifikation
Wirtschaft
Financial Crises
General Financial Markets: General (includes Measurement and Data)
Asset Pricing; Trading Volume; Bond Interest Rates
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Thema
COVID-19
idiosyncratic volatility
return reversal
stock returns

Ereignis
Geistige Schöpfung
(wer)
Poudeh, Seyed Reza Tabatabaei
Choi, Sungchul
Fu, Chengbo
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2022

DOI
doi:10.3390/risks10030057
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Poudeh, Seyed Reza Tabatabaei
  • Choi, Sungchul
  • Fu, Chengbo
  • MDPI

Entstanden

  • 2022

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