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Winners and losers from Pfizer and Biontech’s vaccine announcement: Evidence from S&P 500 (Sub)sector indices

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  • Burcu Kapar
  • Steven Buigut
  • Faisal Rana

Abstract

This study explores how the US stock market reacted to the news of a successful development of vaccine by Pfizer and Biontech on November 9, 2020. In particular, the study analyses the effect of the vaccine announcement on 11 sector indices and 79 subsector indices. A key contribution of the present study is to provide a deeper subsector level of analysis lacking in existing literature. An event study approach is applied in identifying abnormal returns due to the November 9th vaccine announcement. Several event periods (-1, 0, 1, 2, 3, 0-1, 0-3) are analysed to provide a more complete picture of the effects. Based on analysis, it is established that there are considerable inter and intra sectoral variations in the impact of the vaccine news. The results show that the impact follows a clear pattern. The sectors that were hit hardest by the pandemic such as energy, financials, as well as subsectors like hotels and casinos, benefited the most from positive vaccine news. Subsectors that gained from the pandemic such as airfreight, household appliances and computers and electronics retail were depressed the most by the news. These findings suggest that while the availability of vaccines is expected to help steer economies gradually to normalcy, the re-adjustment is likely to be asymmetric across subsectors. While some subsectors expect to expand as these industries recover from the contraction inflicted by the COVID-19 environment, other subsectors expect adjustment losses as these industries shed off the above average gains driven by the COVID-19 environment.

Suggested Citation

  • Burcu Kapar & Steven Buigut & Faisal Rana, 2022. "Winners and losers from Pfizer and Biontech’s vaccine announcement: Evidence from S&P 500 (Sub)sector indices," PLOS ONE, Public Library of Science, vol. 17(10), pages 1-23, October.
  • Handle: RePEc:plo:pone00:0275773
    DOI: 10.1371/journal.pone.0275773
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    References listed on IDEAS

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    1. Jyotirmayee Behera & Ajit Kumar Pasayat & Harekrushna Behera, 2022. "COVID-19 Vaccination Effect on Stock Market and Death Rate in India," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 651-673, December.
    2. Pearce, Douglas K & Roley, V Vance, 1985. "Stock Prices and Economic News," The Journal of Business, University of Chicago Press, vol. 58(1), pages 49-67, January.
    3. Campbell, John Y, 1991. "A Variance Decomposition for Stock Returns," Economic Journal, Royal Economic Society, vol. 101(405), pages 157-179, March.
    4. Al-Awadhi, Abdullah M. & Alsaifi, Khaled & Al-Awadhi, Ahmad & Alhammadi, Salah, 2020. "Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    5. Maneenop, Sakkakom & Kotcharin, Suntichai, 2020. "The impacts of COVID-19 on the global airline industry: An event study approach," Journal of Air Transport Management, Elsevier, vol. 89(C).
    6. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    7. Grace Chua & Kum Fai Yuen & Xueqin Wang & Yiik Diew Wong, 2021. "The Determinants of Panic Buying during COVID-19," IJERPH, MDPI, vol. 18(6), pages 1-28, March.
    8. O’Donnell, Niall & Shannon, Darren & Sheehan, Barry, 2021. "Immune or at-risk? Stock markets and the significance of the COVID-19 pandemic," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    9. Larissa Batrancea & Mircea Iosif Rus & Ema Speranta Masca & Ioan Dan Morar, 2021. "Fiscal Pressure as a Trigger of Financial Performance for the Energy Industry: An Empirical Investigation across a 16-Year Period," Energies, MDPI, vol. 14(13), pages 1-17, June.
    10. HaiYue Liu & Aqsa Manzoor & CangYu Wang & Lei Zhang & Zaira Manzoor, 2020. "The COVID-19 Outbreak and Affected Countries Stock Markets Response," IJERPH, MDPI, vol. 17(8), pages 1-19, April.
    11. Naidu, Dharmendra & Ranjeeni, Kumari, 2021. "Effect of coronavirus fear on the performance of Australian stock returns: Evidence from an event study," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    12. Ender Demir & Renatas Kizys & Wael Rouatbi & Adam Zaremba, 2021. "COVID-19 Vaccinations and the Volatility of Energy Companies in International Markets," JRFM, MDPI, vol. 14(12), pages 1-21, December.
    13. Gräb, Johannes & Kellers, Moritz & Le Mezo, Helena, 2021. "Rotation towards normality – the impact of COVID-19 vaccine-related news on global financial markets," Economic Bulletin Boxes, European Central Bank, vol. 1.
    14. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    15. Harrison Hong & Neng Wang & Jinqiang Yang, 2021. "Implications of Stochastic Transmission Rates for Managing Pandemic Risks [Comparison of deterministic and stochastic SIS and SIR models in discrete time]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5224-5265.
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