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Determining the Return Volatility of Major Stock Markets Before and During the COVID-19 Pandemic by Applying the EGARCH Model

  • Afyon Kocatepe University
  • Usak University
  • University of Malta

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

With this study, we aim to determine the effect of the Covid-19 pandemic on the return volatility of the DJI, the DAX, the FTSE100 and the CAC40 stock indexes. We take return volatility between 1st January 2019 and 17th July 2020 and split it into two separate periods - before the Covid-19 pandemic outbreak and the first wave of the 'In-Pandemic’ period. Only the so-called first wave of the pandemic was chosen to avoid the influence of knowledge of possible vaccines and antiviral solutions. Data were analysed by using the exponential GARCH (EGARCH) model. Findings show excessive volatility in the major stock markets with short volatility persistence and the presence of leverage in returns during the first wave of the Covid-19 pandemic outbreak. Moreover, during the pandemic period, positive shocks have been observed to have a greater effect than negative socks on the stock index return volatility.

Original languageEnglish
Pages (from-to)405-419
Number of pages15
JournalScientific Annals of Economics and Business
Volume68
Issue number4
DOIs
Publication statusPublished - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

OECD Field of Science

  • 5.2 Economics and Business

Keywords

  • Corona Virus (COVID-19)
  • EGARCH
  • pandemics
  • return volatility
  • stock indexes

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