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Machine learning shows that the Covid-19 pandemic is impacting U.S. public companies unequally by changing risk structures

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  • Likun Cao
  • Jie Ren

Abstract

Covid-19 has impacted the U.S. economy and business organizations in multiple ways, yet its influence on company fundamentals and risk structures have not been fully elucidated. In this paper, we apply LDA, a mainstream topic model, to analyze the risk factor section from SEC filings (10-K and 10-Q), and describe risk structure change over the past two years. The results show that Covid-19 has transformed the risk structures U.S. companies face in the short run, exerting excessive stress on international interactions, operations, and supply chains. However, this shock has been waning since the second quarter of 2020. Our model shows that risk structure change (measured by topic distribution) from Covid-19 is a significant predictor of lower performance, but smaller companies tend to be stricken harder.

Suggested Citation

  • Likun Cao & Jie Ren, 2022. "Machine learning shows that the Covid-19 pandemic is impacting U.S. public companies unequally by changing risk structures," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-18, June.
    • Handle: RePEc:plo:pone00:0269582
    DOI: 10.1371/journal.pone.0269582
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    References listed on IDEAS

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