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Modelling the Impact of Different COVID-19 Pandemic Waves on Real Estate Stock Returns and Their Volatility Using a GJR-GARCHX Approach: An International Perspective

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  • Mateusz Tomal

    (Department of Real Estate and Investment Economics, Cracow University of Economics, Rakowicka 27, 31-510 Cracow, Poland)

Abstract

This paper aims to investigate the impact of various COVID-19 pandemic waves on real estate stock returns and their volatility in developed (US, Australia), emerging (Turkey, Poland), and frontier (Morocco, Jordan) markets. A study using a GJR-GARCHX model revealed that the pandemic outbreak had a limited impact on real estate company stocks. The first pandemic wave only in the US caused a decline in stock returns. In turn, this was the case in Poland and Jordan during the second and third waves. Furthermore, in the aftermath of the pandemic development, an increase in the volatility of stock returns can be observed in the Polish financial market. However, this effect mainly applies to the period of the first disease wave.

Suggested Citation

  • Mateusz Tomal, 2021. "Modelling the Impact of Different COVID-19 Pandemic Waves on Real Estate Stock Returns and Their Volatility Using a GJR-GARCHX Approach: An International Perspective," JRFM, MDPI, vol. 14(8), pages 1-8, August.
  • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:8:p:374-:d:614331
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    References listed on IDEAS

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    1. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    2. Marco J. Lombardi & Giampiero M. Gallo, 2002. "Analytic Hessian matrices and the computation of FIGARCH estimates," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 11(2), pages 247-264, June.
    3. Scott R Baker & Nicholas Bloom & Steven J Davis & Kyle Kost & Marco Sammon & Tasaneeya Viratyosin & Jeffrey Pontiff, 0. "The Unprecedented Stock Market Reaction to COVID-19," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 742-758.
    4. Willem Thorbecke, 2020. "The Impact of the COVID-19 Pandemic on the U.S. Economy: Evidence from the Stock Market," JRFM, MDPI, vol. 13(10), pages 1-30, October.
    5. 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).
    6. Nhan Huynh & Dat Nguyen & Anh Dao, 2021. "Sectoral Performance and the Government Interventions during COVID-19 Pandemic: Australian Evidence," JRFM, MDPI, vol. 14(4), pages 1-16, April.
    7. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," International Economics, CEPII research center, issue 157, pages 179-202.
    8. Engle, Robert F, 1990. "Stock Volatility and the Crash of '87: Discussion," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 103-106.
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    Cited by:

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    3. Brzezicka Justyna & Tomal Mateusz, 2023. "Estimation of the Utility Function of Money and Housing Based on the Cumulative Prospect Theory," Real Estate Management and Valuation, Sciendo, vol. 31(3), pages 83-92, September.
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