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COVID-19-induced Returns, Attention, Sentiments and Social Isolation: Evidence from Dynamic Panel Model

Author

Listed:
  • Farzan Yahya
  • Zhang Shaohua
  • Ulfat Abbas
  • Muhammad Waqas

Abstract

This article develops a dynamic panel model to examine the association among coronavirus outbreak, investor attention, social isolation, investor sentiments and stock returns in the German Stock exchange. The results of the two-step GMM estimator show a significant effect of coronavirus disease 2019 (COVID-19) cases on the Frankfurt Stock Exchange after controlling for calendar anomalies, meteorological conditions, country-specific factors and oil returns. Results also show that a higher level of stock returns during social isolation (lockdown period) is explained by investor attention to buy underpriced stocks. Thus, temporary social isolation enhances an investor’s ability to make better investment decisions. Investor sentiment indicators (momentum and liquidity) are also positively associated with the stock return and partially mediate the COVID-returns link, but they have no direct effect on investor attention. The stock market attracts investor attention under good news shocks (recovered cases) when investor sentiments are optimistic. Our results are robust across the transparency level of firms and their size.

Suggested Citation

  • Farzan Yahya & Zhang Shaohua & Ulfat Abbas & Muhammad Waqas, 2025. "COVID-19-induced Returns, Attention, Sentiments and Social Isolation: Evidence from Dynamic Panel Model," Global Business Review, International Management Institute, vol. 26(2), pages 481-499, April.
  • Handle: RePEc:sae:globus:v:26:y:2025:i:2:p:481-499
    DOI: 10.1177/0972150921996174
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    References listed on IDEAS

    as
    1. Cao, Melanie & Wei, Jason, 2005. "Stock market returns: A note on temperature anomaly," Journal of Banking & Finance, Elsevier, vol. 29(6), pages 1559-1573, June.
    2. Wang, Wenzhao, 2018. "Investor sentiment and the mean-variance relationship: European evidence," Research in International Business and Finance, Elsevier, vol. 46(C), pages 227-239.
    3. Manel Youssef & Khaled Mokni, 2019. "Do Crude Oil Prices Drive the Relationship between Stock Markets of Oil-Importing and Oil-Exporting Countries?," Economies, MDPI, vol. 7(3), pages 1-22, July.
    4. Park, Jungwook & Ratti, Ronald A., 2008. "Oil price shocks and stock markets in the U.S. and 13 European countries," Energy Economics, Elsevier, vol. 30(5), pages 2587-2608, September.
    5. Diaz, Elena Maria & Molero, Juan Carlos & Perez de Gracia, Fernando, 2016. "Oil price volatility and stock returns in the G7 economies," Energy Economics, Elsevier, vol. 54(C), pages 417-430.
    6. Jie Hou & Wendong Shi & Jingwei Sun, 2019. "Stock Returns, weather, and air conditioning," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-10, July.
    7. Pravakar Sahoo & Ashwani, 2020. "COVID-19 and Indian Economy: Impact on Growth, Manufacturing, Trade and MSME Sector," Global Business Review, International Management Institute, vol. 21(5), pages 1159-1183, October.
    8. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    9. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    10. Altig, Dave & Baker, Scott & Barrero, Jose Maria & Bloom, Nicholas & Bunn, Philip & Chen, Scarlet & Davis, Steven J. & Leather, Julia & Meyer, Brent & Mihaylov, Emil & Mizen, Paul & Parker, Nicholas &, 2020. "Economic uncertainty before and during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    11. Bourdeau-Brien, Michael & Kryzanowski, Lawrence, 2017. "The impact of natural disasters on the stock returns and volatilities of local firms," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 259-270.
    12. Tao Chen, 2017. "Investor Attention and Global Stock Returns," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(3), pages 358-372, July.
    13. Li, Xin & Ma, Jian & Wang, Shouyang & Zhang, Xun, 2015. "How does Google search affect trader positions and crude oil prices?," Economic Modelling, Elsevier, vol. 49(C), pages 162-171.
    14. Cedric Mbanga & Ali F. Darrat & Jung Chul Park, 2019. "Investor sentiment and aggregate stock returns: the role of investor attention," Review of Quantitative Finance and Accounting, Springer, vol. 53(2), pages 397-428, August.
    15. Nicholas Apergis & Alexandros Gabrielsen & Lee Smales, 2016. "(Unusual) weather and stock returns—I am not in the mood for mood: further evidence from international markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(1), pages 63-94, February.
    16. Haroon, Omair & Rizvi, Syed Aun R., 2020. "COVID-19: Media coverage and financial markets behavior—A sectoral inquiry," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    17. Papakyriakou, Panayiotis & Sakkas, Athanasios & Taoushianis, Zenon, 2019. "The impact of terrorist attacks in G7 countries on international stock markets and the role of investor sentiment," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 143-160.
    18. Mario A Bertella & Felipe R Pires & Ling Feng & Harry Eugene Stanley, 2014. "Confidence and the Stock Market: An Agent-Based Approach," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-9, January.
    19. Baltagi, Badi H., 2015. "The Oxford Handbook of Panel Data," OUP Catalogue, Oxford University Press, number 9780199940042.
    20. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    21. Semykina, Anastasia & Wooldridge, Jeffrey M., 2010. "Estimating panel data models in the presence of endogeneity and selection," Journal of Econometrics, Elsevier, vol. 157(2), pages 375-380, August.
    22. Ali, Mohsin & Alam, Nafis & Rizvi, Syed Aun R., 2020. "Coronavirus (COVID-19) — An epidemic or pandemic for financial markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    23. Orawan Ratanapakorn & Subhash Sharma, 2007. "Dynamic analysis between the US stock returns and the macroeconomic variables," Applied Financial Economics, Taylor & Francis Journals, vol. 17(5), pages 369-377.
    24. Burch, Timothy R. & Emery, Douglas R. & Fuerst, Michael E., 2016. "Who Moves Markets in a Sudden Marketwide Crisis? Evidence from 9/11," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(2), pages 463-487, April.
    25. Zaremba, Adam & Kizys, Renatas & Aharon, David Y. & Demir, Ender, 2020. "Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe," Finance Research Letters, Elsevier, vol. 35(C).
    26. Mohamed Zouaoui & Geneviève Nouyrigat & Francisca Beer, 2011. "How does investor sentiment affect stock market crises?Evidence from panel data," Working Papers CREGO 1110304, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    27. Tarun K. Mukherjee & Atsuyuki Naka, 1995. "Dynamic Relations Between Macroeconomic Variables And The Japanese Stock Market: An Application Of A Vector Error Correction Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 18(2), pages 223-237, June.
    28. Jennifer Gippel & Tom Smith & Yushu Zhu, 2015. "Endogeneity in Accounting and Finance Research: Natural Experiments as a State-of-the-Art Solution," Abacus, Accounting Foundation, University of Sydney, vol. 51(2), pages 143-168, June.
    29. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    30. Maria Rosa Borges, 2010. "Efficient market hypothesis in European stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 16(7), pages 711-726.
    31. Assefa, Tibebe A. & Esqueda, Omar A. & Mollick, André Varella, 2017. "Stock returns and interest rates around the World: A panel data approach," Journal of Economics and Business, Elsevier, vol. 89(C), pages 20-35.
    32. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LLC, vol. 9(1), pages 86-136, March.
    33. Ling Cen & Hai Lu & Liyan Yang, 2013. "Investor Sentiment, Disagreement, and the Breadth--Return Relationship," Management Science, INFORMS, vol. 59(5), pages 1076-1091, May.
    34. Alain Topor & Ingemar Ljungqvist & Eva-Lena Strandberg, 2016. "The costs of friendship: severe mental illness, poverty and social isolation," Psychosis, Taylor & Francis Journals, vol. 8(4), pages 336-345, October.
    35. Chunpeng Yang & Rengui Zhang, 2014. "Does mixed-frequency investor sentiment impact stock returns? Based on the empirical study of MIDAS regression model," Applied Economics, Taylor & Francis Journals, vol. 46(9), pages 966-972, March.
    36. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2019. "Firm-specific investor sentiment and daily stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    37. Mohamed Zouaoui & G. Nouyrigat & F. Beer, 2011. "How Does Investor Sentiment Affect StockMarket Crises? Evidence from Panel Data," Post-Print halshs-00785809, HAL.
    38. Victor Ricciardi, 2017. "The Role of Group Psychology in Behavioural Finance: A Research Starting Point for Banking, Economic, and Financial Historians," Palgrave Studies in the History of Finance, in: Korinna Schönhärl (ed.), Decision Taking, Confidence and Risk Management in Banks from Early Modernity to the 20th Century, pages 269-292, Palgrave Macmillan.
    39. Q. Li & C.H. Peng, 2016. "The stock market effect of air pollution: evidence from China," Applied Economics, Taylor & Francis Journals, vol. 48(36), pages 3442-3461, August.
    40. 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).
    41. Lepori, Gabriele M., 2016. "Air pollution and stock returns: Evidence from a natural experiment," Journal of Empirical Finance, Elsevier, vol. 35(C), pages 25-42.
    42. Ichev, Riste & Marinč, Matej, 2018. "Stock prices and geographic proximity of information: Evidence from the Ebola outbreak," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 153-166.
    43. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    44. Conghui Chen & Lanlan Liu & Ningru Zhao, 2020. "Fear Sentiment, Uncertainty, and Bitcoin Price Dynamics: The Case of COVID-19," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2298-2309, August.
    45. Mukherjee, Tarun K & Naka, Atsuyuki, 1995. "Dynamic Relations between Macroeconomic Variables and the Japanese Stock Market: An Application of a Vector Error Correction Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 18(2), pages 223-237, Summer.
    46. Mohamed Zouaoui & Geneviève Nouyrigat & Francisca Beer, 2011. "How Does Investor Sentiment Affect Stock Market Crises? Evidence from Panel Data," The Financial Review, Eastern Finance Association, vol. 46(4), pages 723-747, November.
    47. Lim, Kian-Ping & Brooks, Robert D. & Kim, Jae H., 2008. "Financial crisis and stock market efficiency: Empirical evidence from Asian countries," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 571-591, June.
    48. Conghui Chen & Lanlan Liu & Ningru Zhao, 2020. "Fear Sentiment, Uncertainty, and Bitcoin Price Dynamics: The Case of COVID-19," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2298-2309, August.
    49. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.
    50. Kurov, Alexander & Stan, Raluca, 2018. "Monetary policy uncertainty and the market reaction to macroeconomic news," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 127-142.
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