IDEAS home Printed from https://ideas.repec.org/p/dnb/dnbwpp/724.html
   My bibliography  Save this paper

The rise in the cross-sectoral dispersion of earnings expectations during COVID-19

Author

Listed:
  • Joost Bats
  • William Greif
  • Daniel Kapp

Abstract

This paper documents a durable increase in the cross-sectoral dispersion of earnings expectations during the COVID-19 crisis. An empirical analysis shows that the rise in dispersion of earnings forecasts can be explained by the introduction of lockdown measures, which had a particularly adverse impact on the travel sector. Accordingly, in terms of earnings expectations, countries that are relatively independent from the travel sector were least affected by a tightening of lockdowns. At the same time, the start of vaccination campaigns has been a game changer: more stringent lockdown measures added far less to the cross-sectoral dispersion in earnings expectations once vaccines started to be rolled out in late 2020. Going forward, the dispersion in earnings expectations remains elevated, implying that analysts may expect the effects of the crisis to be of a rather structural nature.

Suggested Citation

  • Joost Bats & William Greif & Daniel Kapp, 2021. "The rise in the cross-sectoral dispersion of earnings expectations during COVID-19," Working Papers 724, DNB.
  • Handle: RePEc:dnb:dnbwpp:724
    as

    Download full text from publisher

    File URL: https://www.dnb.nl/media/wdsbpzmd/working_paper_no-_724.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jaremski, Matthew, 2018. "The (dis)advantages of clearinghouses before the Fed," Journal of Financial Economics, Elsevier, vol. 127(3), pages 435-458.
    2. Fairlie, Robert, 2020. "The Impact of COVID-19 on Small Business Owners: The First Three Months after Social-Distancing Restrictions," MPRA Paper 113127, University Library of Munich, Germany.
    3. Haoyu Gao & Huiyu Wen & Shujiaming Yu, 2021. "Pandemic Effect on Analyst Forecast Dispersion: Earnings Uncertainty or Information Lockdown?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(6), pages 1699-1715, May.
    4. Stefano Ramelli & Alexander F. Wagner, 2020. "Feverish Stock Price Reactions to COVID-19," Swiss Finance Institute Research Paper Series 20-12, Swiss Finance Institute.
    5. Dion Bongaerts & K. J. Martijn Cremers & William N. Goetzmann, 2012. "Tiebreaker: Certification and Multiple Credit Ratings," Journal of Finance, American Finance Association, vol. 67(1), pages 113-152, February.
    6. Greg Kaplan & Benjamin Moll & Giovanni L. Violante, 2020. "The Great Lockdown and the Big Stimulus: Tracing the Pandemic Possibility Frontier for the U.S," NBER Working Papers 27794, National Bureau of Economic Research, Inc.
    7. Niels Joachim Gormsen & Ralph S J Koijen & Nikolai Roussanov, 0. "Coronavirus: Impact on Stock Prices and Growth Expectations," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 574-597.
    8. Gastwirth, Joseph L, 1972. "The Estimation of the Lorenz Curve and Gini Index," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 306-316, August.
    9. Ding, Wenzhi & Levine, Ross & Lin, Chen & Xie, Wensi, 2021. "Corporate immunity to the COVID-19 pandemic," Journal of Financial Economics, Elsevier, vol. 141(2), pages 802-830.
    10. Baek, Seungho & Mohanty, Sunil K. & Glambosky, Mina, 2020. "COVID-19 and stock market volatility: An industry level analysis," Finance Research Letters, Elsevier, vol. 37(C).
    11. Robert Fairlie, 2020. "The impact of COVID‐19 on small business owners: Evidence from the first three months after widespread social‐distancing restrictions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(4), pages 727-740, October.
    12. Mazur, Mieszko & Dang, Man & Vega, Miguel, 2021. "COVID-19 and the march 2020 stock market crash. Evidence from S&P1500," Finance Research Letters, Elsevier, vol. 38(C).
    13. Wagner, Alexander F. & Ramelli, Stefano, 2020. "Feverish Stock Price Reactions to COVID-19," CEPR Discussion Papers 14511, C.E.P.R. Discussion Papers.
    14. Hautsch, Nikolaus & Horvath, Akos, 2019. "How effective are trading pauses?," Journal of Financial Economics, Elsevier, vol. 131(2), pages 378-403.
    15. Harrison Hong & Jeffrey D. Kubik & Neng Wang & Xiao Xu & Jinqiang Yang, 2020. "Pandemics, Vaccines and an Earnings Damage Function," NBER Working Papers 27829, National Bureau of Economic Research, Inc.
    16. Stefano Ramelli & Alexander F Wagner, 2020. "Feverish Stock Price Reactions to COVID-19," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 9(3), pages 622-655.
    17. Kapp, Daniel & Kristiansen, Kristian, 2021. "Euro area equity risk premia and monetary policy: a longer-term perspective," Working Paper Series 2535, European Central Bank.
    18. Augustin Landier & David Thesmar, 2020. "Earnings Expectations in the COVID Crisis," NBER Working Papers 27160, National Bureau of Economic Research, Inc.
    19. Laura Alfaro & Anusha Chari & Andrew N. Greenland & Peter K. Schott, 2020. "Aggregate and Firm-Level Stock Returns During Pandemics, in Real Time," NBER Working Papers 26950, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bats, Joost & Greif, William & Kapp, Daniel, 2022. "The rise in the cross-sectoral dispersion of earnings expectations during COVID-19," Working Paper Series 2664, European Central Bank.
    2. Michal Bernardelli & Zbigniew Korzeb & Pawel Niedziolka, 2021. "The banking sector as the absorber of the COVID-19 crisis’ economic consequences: perception of WSE investors," Oeconomia Copernicana, Institute of Economic Research, vol. 12(2), pages 335-374, June.
    3. Harrison Hong & Jeffrey D. Kubik & Neng Wang & Xiao Xu & Jinqiang Yang, 2020. "Pandemics, Vaccines and an Earnings Damage Function," NBER Working Papers 27829, National Bureau of Economic Research, Inc.
    4. Laeven, Luc, 2022. "Pandemics, intermediate goods, and corporate valuation," Journal of International Money and Finance, Elsevier, vol. 120(C).
    5. Steven J. Davis & Dingqian Liu & Xuguang Simon Sheng, 2022. "Stock Prices and Economic Activity in the Time of Coronavirus," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(1), pages 32-67, March.
    6. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2022. "The role of non-critical business and telework propensity in international stock markets during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    7. Wagner, Alexander F. & Glossner, Simon & Matos, Pedro Pinto & Ramelli, Stefano, 2022. "Do institutional investors stabilize equity markets in crisis periods? Evidence from COVID-19," CEPR Discussion Papers 15070, C.E.P.R. Discussion Papers.
    8. Greppmair, Stefan & Jank, Stephan & Smajlbegovic, Esad, 2023. "On the importance of fiscal space: Evidence from short sellers during the COVID-19 pandemic," Journal of Banking & Finance, Elsevier, vol. 147(C).
    9. Ștefan Cristian Gherghina & Daniel Ștefan Armeanu & Camelia Cătălina Joldeș, 2020. "Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis," IJERPH, MDPI, vol. 17(18), pages 1-35, September.
    10. Stanimira Milcheva, 2022. "Volatility and the Cross-Section of Real Estate Equity Returns during Covid-19," The Journal of Real Estate Finance and Economics, Springer, vol. 65(2), pages 293-320, August.
    11. Gregory, Richard Paul, 2022. "ESG scores and the response of the S&P 1500 to monetary and fiscal policy during the Covid-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 446-456.
    12. Omrane Guedhami & April Knill & William L. Megginson & Lemma W. Senbet, 2022. "The dark side of globalization: Evidence from the impact of COVID-19 on multinational companies," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(8), pages 1603-1640, October.
    13. Pagano, Marco & Wagner, Christian & Zechner, Josef, 2023. "Disaster resilience and asset prices," Journal of Financial Economics, Elsevier, vol. 150(2).
    14. Cakici, Nusret & Zaremba, Adam, 2021. "Who should be afraid of infections? Pandemic exposure and the cross-section of stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    15. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2022. "The impact and role of COVID-19 uncertainty: A global industry analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    16. Hassan, Tarek & Hollander, Stephan & van Lent, Laurence & Schwedeler, Markus & Tahoun, Ahmed, 2020. "Firm-Level Exposure to Epidemic Diseases: Covid-19, SARS, and H1N1," CEPR Discussion Papers 14573, C.E.P.R. Discussion Papers.
    17. Dörr, Julian Oliver & Kinne, Jan & Lenz, David & Licht, Georg & Winker, Peter, 2021. "An integrated data framework for policy guidance in times of dynamic economic shocks," ZEW Discussion Papers 21-062, ZEW - Leibniz Centre for European Economic Research.
    18. Eddie C. M. Hui & Ka Kwan Kevin Chan, 2022. "How does Covid-19 affect global equity markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-19, December.
    19. Zaremba, Adam & Kizys, Renatas & Tzouvanas, Panagiotis & Aharon, David Y. & Demir, Ender, 2021. "The quest for multidimensional financial immunity to the COVID-19 pandemic: Evidence from international stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    20. Tim Loughran & Bill McDonald, 2023. "Management disclosure of risk factors and COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-9, December.

    More about this item

    Keywords

    COVID-19; Financial markets; Earnings expectations; Cross-sectoral dispersion; Lockdown measures; Vaccinations;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dnb:dnbwpp:724. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: DNB (email available below). General contact details of provider: https://edirc.repec.org/data/dnbgvnl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.