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来源类型Working Paper
规范类型报告
DOI10.3386/w27867
来源IDWorking Paper 27867
Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19
Steven J. Davis; Stephen Hansen; Cristhian Seminario-Amez
发表日期2020-09-28
出版年2020
语种英语
摘要Firm-level stock returns differ enormously in reaction to COVID-19 news. We characterize these reactions using the Risk Factors discussions in pre-pandemic 10-K filings and two text-analytic approaches: expert-curated dictionaries and supervised machine learning (ML). Bad COVID-19 news lowers returns for firms with high exposures to travel, traditional retail, aircraft production and energy supply—directly and via downstream demand linkages—and raises them for firms with high exposures to healthcare policy, e-commerce, web services, drug trials and materials that feed into supply chains for semiconductors, cloud computing and telecommunications. Monetary and fiscal policy responses to the pandemic strongly impact firm-level returns as well, but differently than pandemic news. Despite methodological differences, dictionary and ML approaches yield remarkably congruent return predictions. Importantly though, ML operates on a vastly larger feature space, yielding richer characterizations of risk exposures and outperforming the dictionary approach in goodness-of-fit. By integrating elements of both approaches, we uncover new risk factors and sharpen our explanations for firm-level returns. To illustrate the broader utility of our methods, we also apply them to explain firm-level returns in reaction to the March 2020 Super Tuesday election results.
主题Macroeconomics ; Money and Interest Rates ; Financial Economics ; Portfolio Selection and Asset Pricing ; Financial Markets ; COVID-19
URLhttps://www.nber.org/papers/w27867
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/585541
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Steven J. Davis,Stephen Hansen,Cristhian Seminario-Amez. Firm-Level Risk Exposures and Stock Returns in the Wake of COVID-19. 2020.
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