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Effects of investor sentiment and country governance on unexpected conditional volatility during the COVID-19 pandemic: Evidence from global stock markets

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  • Hsu, Yu-Lin
  • Tang, Leilei

Abstract

This paper first investigates the relationship between investor sentiment, captured by internet search behaviour, and the unexpected component of stock market volatility during the COVID-19 pandemic. According to data on 12 major stock markets, our research indicates a positive correlation between the Google search volume index on COVID-19 and the unexpected volatility of stock markets. The result suggests that greater COVID-19-related investor sentiment during this pandemic is associated with higher stock market uncertainty.

Suggested Citation

  • Hsu, Yu-Lin & Tang, Leilei, 2022. "Effects of investor sentiment and country governance on unexpected conditional volatility during the COVID-19 pandemic: Evidence from global stock markets," International Review of Financial Analysis, Elsevier, vol. 82(C).
  • Handle: RePEc:eee:finana:v:82:y:2022:i:c:s1057521922001478
    DOI: 10.1016/j.irfa.2022.102186
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    1. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Thomas Dimpfl & Stephan Jank, 2016. "Can Internet Search Queries Help to Predict Stock Market Volatility?," European Financial Management, European Financial Management Association, vol. 22(2), pages 171-192, March.
    4. Gao, Zhenyu & Ren, Haohan & Zhang, Bohui, 2020. "Googling Investor Sentiment around the World," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(2), pages 549-580, March.
    5. Paterson, Audrey S. & Changwony, Fredrick & Miller, Peter B., 2019. "Accounting control, governance and anti-corruption initiatives in public sector organisations," LSE Research Online Documents on Economics 101930, London School of Economics and Political Science, LSE Library.
    6. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    7. Nguyen, Tuan & Locke, Stuart & Reddy, Krishna, 2015. "Ownership concentration and corporate performance from a dynamic perspective: Does national governance quality matter?," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 148-161.
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
    10. Enikolopov, Ruben & Petrova, Maria & Stepanov, Sergey, 2014. "Firm value in crisis: Effects of firm-level transparency and country-level institutions," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 72-84.
    11. Ashraf, Badar Nadeem, 2020. "Economic impact of government interventions during the COVID-19 pandemic: International evidence from financial markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    12. Die Wan & Ke Cheng & Xiaoguang Yang, 2014. "The reverse volatility asymmetry in Chinese financial market," Applied Financial Economics, Taylor & Francis Journals, vol. 24(24), pages 1555-1575, December.
    13. Persakis, Anthony & Iatridis, George Emmanuel, 2016. "Audit quality, investor protection and earnings management during the financial crisis of 2008: An international perspective," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 73-101.
    14. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    15. Djankov, Simeon & La Porta, Rafael & Lopez-de-Silanes, Florencio & Shleifer, Andrei, 2008. "The law and economics of self-dealing," Journal of Financial Economics, Elsevier, vol. 88(3), pages 430-465, June.
    16. Zaremba, Adam & Kizys, Renatas & Tzouvanas, Panagiotis & Aharon, David Y. & Demir, Ender, 2021. "The quest for multidimensional financial immunity to the COVID-19 pandemic: Evidence from international stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    17. Mazur, Mieszko & Dang, Man & Vega, Miguel, 2021. "COVID-19 and the march 2020 stock market crash. Evidence from S&P1500," Finance Research Letters, Elsevier, vol. 38(C).
    18. Tripathi, Abhinava & Pandey, Ashish, 2021. "Information dissemination across global markets during the spread of COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 103-115.
    19. Smales, L.A., 2021. "Investor attention and global market returns during the COVID-19 crisis," International Review of Financial Analysis, Elsevier, vol. 73(C).
    20. Christensen, B. J. & Prabhala, N. R., 1998. "The relation between implied and realized volatility," Journal of Financial Economics, Elsevier, vol. 50(2), pages 125-150, November.
    21. Jimi Siekkinen, 2016. "Value relevance of fair values in different investor protection environments," Accounting Forum, Taylor & Francis Journals, vol. 40(1), pages 1-15, March.
    22. Baig, Ahmed S. & Butt, Hassan Anjum & Haroon, Omair & Rizvi, Syed Aun R., 2021. "Deaths, panic, lockdowns and US equity markets: The case of COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 38(C).
    23. Khan, Muhammad Asif & Hernandez, Jose Arreola & Shahzad, Syed Jawad Hussain, 2020. "Time and frequency relationship between household investors’ sentiment index and US industry stock returns," Finance Research Letters, Elsevier, vol. 36(C).
    24. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    3. Richard Mawulawoe Ahadzie & Dan Daugaard & Moses Kangogo & Faisal Khan & Joaquin Vespignani, 2024. "COVID‐19, Mobility Restriction Policies and Stock Market Volatility: A Cross‐Country Empirical Study," Economic Papers, The Economic Society of Australia, vol. 43(2), pages 184-203, June.
    4. Ștefan Cristian Gherghina, 2023. "The Impact of COVID-19 on Financial Markets and the Real Economy," Economies, MDPI, vol. 11(4), pages 1-5, March.
    5. Wasim ul Rehman & Omur Saltik & Faryal Jalil & Suleyman Degirmen, 2024. "Viral decisions: unmasking the impact of COVID-19 info and behavioral quirks on investment choices," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
    6. Chen, Jia & Yi, Xingjian & Liu, Hao, 2024. "Asset redeployability and firm value amidst the COVID-19 pandemic: A real options perspective," International Review of Financial Analysis, Elsevier, vol. 94(C).

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    More about this item

    Keywords

    COVID-19; Country governance; Investor protection; Investor sentiment; Volatility;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G1 - Financial Economics - - General Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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