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Stock Market Reactions To Covid-19: The Case Of Nyse

Author

Listed:
  • BATRANCEA LARISSA

    (BABES-BOLYAI UNIVERSITY CLUJ-NAPOCA, FACULTY OF BUSINESS, ROMANIA)

Abstract

The present article reports on the analysis of the degree to whichthe current COVID-19 pandemic has impacted on the stock market pricesof the first 34 companies listed on the New York Stock Exchange (NYSE). Despite the fact that the majority of finance professionals believe that the evolution of price-to-earnings, price-to-sales and price-to-book value depend heavily on psychological factors and not so much on financial results of a company, the study shows that these indicators of major importance for stock markets have been shaped by profitability and liquidity ratios. By running a panel data analysis on company financial indicators regarding the time span March-September 2020, the study shows that price-to-sales was significantly influenced by company profitability and liquidity. Moreover, price-to-earnings and price-to-book value were influenced solely by company profitability.

Suggested Citation

  • Batrancea Larissa, 2020. "Stock Market Reactions To Covid-19: The Case Of Nyse," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 17-23, December.
    • Handle: RePEc:cbu:jrnlec:y:2020:v:6:p:17-23
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    References listed on IDEAS

    as
    1. Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna & Robert Brooks, 2019. "Investor Attention and Stock Market Activities: New Evidence from Panel Data," IJFS, MDPI, vol. 7(2), pages 1-19, June.
    2. Chip Heath & Steven Huddart & Mark Lang, 1999. "Psychological Factors and Stock Option Exercise," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 601-627.
    3. Aamir Sarwar & Ghadeer Afaf, 2016. "A comparison between psychological and economic factors affecting individual investor’s decision-making behavior," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1232907-123, December.
    4. 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.
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