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Predicting financial market returns in the presence of health crisis: evidence from conventional and Islamic stock markets

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  • Gülfen Tuna

Abstract

The purpose of this study is to examine the usability of the news about the COVID-19 outbreak as a predictor in financial markets. Index values of 11 different sectors in conventional and Islamic stock markets and the index values obtained from COVID-19 deaths, COVID-19 cases and health news were used for this purpose. News variables indices were calculated through Google search volume (G.S.V.) values obtained from Google trend. The daily data between 19 March 2020 and 27 July 2020 were used in the study for 25 index values in total. Regression analysis was used in the study. According to the study results, COVID-19 deaths, COVID-19 cases and health news used as predictors have higher performance than historical return values in all sectors of both conventional and Islamic financial markets. In addition, Islamic stock markets show more attention to the news about the COVID-19 outbreak than conventional stock markets. Accordingly, COVID-19 deaths, COVID-19 cases and health news can be used as effective predictors in Islamic financial markets.

Suggested Citation

  • Gülfen Tuna, 2022. "Predicting financial market returns in the presence of health crisis: evidence from conventional and Islamic stock markets," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 1786-1806, December.
    • Handle: RePEc:taf:reroxx:v:35:y:2022:i:1:p:1786-1806
    DOI: 10.1080/1331677X.2021.1922089
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