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Policy uncertainty sensitivity, COVID-19 and industry returns in the United States

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  • Asil Azimli

Abstract

This paper examines if industries with higher economic policy uncertainty (EPU) sensitivity also respond differently to the evolution of COVID-19 pandemic. Initially, industries are allocated into decile portfolios according to their sensitivity to the US-EPU shocks, then portfolio returns are conditioned against changes in daily cases and deaths, respectively. After controlling for the standard risk-factors of equity returns, neither the cases nor deaths can load significantly against the returns of portfolio with the highest negative EPU exposure. However, industries which respond positively to the US-EPU shocks also respond positively to increases in cases and deaths.

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  • Asil Azimli, 2022. "Policy uncertainty sensitivity, COVID-19 and industry returns in the United States," Economics and Business Letters, Oviedo University Press, vol. 11(3), pages 107-117.
    • Handle: RePEc:ove:journl:aid:17606
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    File URL: https://reunido.uniovi.es/index.php/EBL/article/view/17606
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    1. Huynh, Toan Luu Duc & Foglia, Matteo & Doukas, John A., 2022. "COVID-19 and Tail-event Driven Network Risk in the Eurozone," Finance Research Letters, Elsevier, vol. 44(C).
    2. Hu, Zhijun & Kutan, Ali M. & Sun, Ping-Wen, 2018. "Is U.S. economic policy uncertainty priced in China's A-shares market? Evidence from market, industry, and individual stocks," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 207-220.
    3. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    4. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    5. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Tran, Vuong Thao, 2018. "Can economic policy uncertainty predict stock returns? Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 134-150.
    6. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    7. Arouri, Mohamed & Estay, Christophe & Rault, Christophe & Roubaud, David, 2016. "Economic policy uncertainty and stock markets: Long-run evidence from the US," Finance Research Letters, Elsevier, vol. 18(C), pages 136-141.
    8. Bali, Turan G. & Brown, Stephen J. & Tang, Yi, 2017. "Is economic uncertainty priced in the cross-section of stock returns?," Journal of Financial Economics, Elsevier, vol. 126(3), pages 471-489.
    9. 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).
    10. Imen Dakhlaoui & Chaker Aloui, 2016. "The Interactive Relationship Between the US Economic Policy Uncertainty and BRIC Stock Markets," International Economics, CEPII research center, issue 146, pages 141-157.
    11. Shehzad, Khurram & Xiaoxing, Liu & Kazouz, Hayfa, 2020. "COVID-19’s disasters are perilous than Global Financial Crisis: A rumor or fact?," Finance Research Letters, Elsevier, vol. 36(C).
    12. Huynh, Toan Luu Duc & Foglia, Matteo & Nasir, Muhammad Ali & Angelini, Eliana, 2021. "Feverish sentiment and global equity markets during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1088-1108.
    13. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    14. Ender Demir & Oguz Ersan, 2018. "The impact of economic policy uncertainty on stock returns of Turkish tourism companies," Current Issues in Tourism, Taylor & Francis Journals, vol. 21(8), pages 847-855, May.
    15. Bernal, Oscar & Gnabo, Jean-Yves & Guilmin, Grégory, 2016. "Economic policy uncertainty and risk spillovers in the Eurozone," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 24-45.
    16. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    17. 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).
    18. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    19. Augustin Landier & David Thesmar, 2020. "Earnings Expectations in the COVID Crisis," NBER Working Papers 27160, National Bureau of Economic Research, Inc.
    20. Azimli, Asil, 2020. "The impact of COVID-19 on the degree of dependence and structure of risk-return relationship: A quantile regression approach," Finance Research Letters, Elsevier, vol. 36(C).
    21. Sergi, Bruno S. & Harjoto, Maretno Agus & Rossi, Fabrizio & Lee, Robert, 2021. "Do stock markets love misery? Evidence from the COVID-19," Finance Research Letters, Elsevier, vol. 42(C).
    22. Sarwar, Ghulam, 2017. "Examining the flight-to-safety with the implied volatilities," Finance Research Letters, Elsevier, vol. 20(C), pages 118-124.
    23. Azimli, Asil, 2022. "Degree and structure of return dependence among commodities, energy stocks and international equity markets during the post-COVID-19 period," Resources Policy, Elsevier, vol. 77(C).
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