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Anxiety about the pandemic and trust in financial markets

Author

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  • Roy Cerqueti

    (Sapienza University of Rome
    London South Bank University
    Université d’Angers)

  • Valerio Ficcadenti

    (London South Bank University)

Abstract

The COVID-19 pandemic has generated a novel context of global financial distress. This paper enters the related scientific debate and focuses on the relationship between the anxiety felt by the population of a wide set of countries during the pandemic and the trust in the future performance of financial markets. Precisely, we move from the idea—grounded on some recent literature contributions—that the volume of Google searches about “coronavirus” can be considered as a proxy of anxiety and, jointly with the stock index prices, can be used to produce indicators of the population mood—in terms of pessimism and optimism—at country level. We analyse the “very high human developed countries” according to the Human Development Index plus China and the main stock market indexes associated with them. Namely, we propose both a time-dependent and a global indicator of pessimism and optimism and classify indexes and countries accordingly. The results show the existence of different clusters of countries and markets in terms of pessimism and optimism. Moreover, specific regimes emerge, with optimism increasing around the middle of June 2020. Furthermore, countries with different government responses to the pandemic have experienced different levels of mood indicators, so countries with less stringent lockdown measures had a higher level of optimism.

Suggested Citation

  • Roy Cerqueti & Valerio Ficcadenti, 2024. "Anxiety about the pandemic and trust in financial markets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(4), pages 1277-1328, April.
  • Handle: RePEc:spr:anresc:v:72:y:2024:i:4:d:10.1007_s00168-023-01243-0
    DOI: 10.1007/s00168-023-01243-0
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    References listed on IDEAS

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    1. Carola Binder, 2020. "Coronavirus Fears and Macroeconomic Expectations," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 721-730, October.
    2. Lisa A. Kramer & Mark J. Kamstra & Maurice D. Levi, 2000. "Losing Sleep at the Market: The Daylight Saving Anomaly," American Economic Review, American Economic Association, vol. 90(4), pages 1005-1011, September.
    3. Klaus F. Zimmermann & Gokhan Karabulut & Mehmet Huseyin Bilgin & Asli Cansin Doker, 2020. "Inter‐country distancing, globalisation and the coronavirus pandemic," The World Economy, Wiley Blackwell, vol. 43(6), pages 1484-1498, June.
    4. Thiemo Fetzer & Lukas Hensel & Johannes Hermle & Christopher Roth, 2021. "Coronavirus Perceptions and Economic Anxiety," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 968-978, December.
    5. Goel, Sanjay & Cagle, Seth & Shawky, Hany, 2017. "How vulnerable are international financial markets to terrorism? An empirical study based on terrorist incidents worldwide," Journal of Financial Stability, Elsevier, vol. 33(C), pages 120-132.
    6. Buchheim, Lukas & Dovern, Jonas & Krolage, Carla & Link, Sebastian, 2022. "Sentiment and firm behavior during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 186-198.
    7. Robert J. Barro, 2006. "Rare Disasters and Asset Markets in the Twentieth Century," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 823-866.
    8. Mark J. Kamstra & Lisa A. Kramer & Maurice D. Levi, 2003. "Winter Blues: A SAD Stock Market Cycle," American Economic Review, American Economic Association, vol. 93(1), pages 324-343, March.
    9. Goodell, John W. & Huynh, Toan Luu Duc, 2020. "Did Congress trade ahead? Considering the reaction of US industries to COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    10. Soo Beom Choi & Insung Ahn, 2020. "Forecasting seasonal influenza-like illness in South Korea after 2 and 30 weeks using Google Trends and influenza data from Argentina," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-14, July.
    11. Xavier Gabaix, 2012. "Variable Rare Disasters: An Exactly Solved Framework for Ten Puzzles in Macro-Finance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(2), pages 645-700.
    12. Francois Gourio, 2012. "Disaster Risk and Business Cycles," American Economic Review, American Economic Association, vol. 102(6), pages 2734-2766, October.
    13. Lyócsa, Štefan & Molnár, Peter, 2020. "Stock market oscillations during the corona crash: The role of fear and uncertainty," Finance Research Letters, Elsevier, vol. 36(C).
    14. Ariel, Robert A, 1990. "High Stock Returns before Holidays: Existence and Evidence on Possible Causes," Journal of Finance, American Finance Association, vol. 45(5), pages 1611-1626, December.
    15. Emily A Halford & Alison M Lake & Madelyn S Gould, 2020. "Google searches for suicide and suicide risk factors in the early stages of the COVID-19 pandemic," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-8, July.
    16. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
    17. Yochi Cohen-Charash & Charles A Scherbaum & John D Kammeyer-Mueller & Barry M Staw, 2013. "Mood and the Market: Can Press Reports of Investors' Mood Predict Stock Prices?," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-15, August.
    18. Kaplanski, Guy & Levy, Haim, 2010. "Sentiment and stock prices: The case of aviation disasters," Journal of Financial Economics, Elsevier, vol. 95(2), pages 174-201, February.
    19. Chizema, Amon, 2010. "Early and late adoption of American-style executive pay in Germany: Governance and institutions," Journal of World Business, Elsevier, vol. 45(1), pages 9-18, January.
    20. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    21. Lewis, Yimai & Bozos, Konstantinos, 2019. "Mitigating post-acquisition risk: the interplay of cross-border uncertainties," Journal of World Business, Elsevier, vol. 54(5), pages 1-1.
    22. Ana I. Bento & Thuy Nguyen & Coady Wing & Felipe Lozano-Rojas & Yong-Yeol Ahn & Kosali Simon, 2020. "Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(21), pages 11220-11222, May.
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    More about this item

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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