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The effects of epidemics on capital markets volatility: A case study of Borsa Istanbul


  • Fatih GÜZEL

    (PhD in BA, lecturer at Kırşehir Ahi Evran University, Faculty of Economics and Administrative Sciences, Department of Business Administration, Kırşehir, Turkey)

  • Melek ACAR

    (Professor at Selçuk University, Faculty of Economics and Administrative Sciences, Department of Business Administration, Konya, Turkey)


This study examines the effects of epidemics like H1N1, MERS and EBOLA on the volatility of capital markets through the case of Borsa Istanbul. The data set covers the period from 1/2/2009 – 8/11/2020 and consists of daily frequency observations. In the study, first, the appropriate volatility model for BIST 100 Index, which is the main market index of Borsa Istanbul, was determined. ARCH, GARCH, T-GARCH and E-GARCH models were tested to estimate the appropriate volatility model. According to the findings, E-GARCH (1,1) is more suitable for modelling the BIST 100 Index volatility. It was found that the H1N1 pandemic caused an increase in BIST 100 Index volatility, and negative news rather than positive news was effective on BIST 100 volatility. In addition, the effects of COVID-19 pandemic on BIST in the current situation were evaluated. During the pandemic period, the excessive increase in volatility and the negative trend in the return series are remarkable compared to previous periods.

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  • Fatih GÜZEL & Melek ACAR, 2021. "The effects of epidemics on capital markets volatility: A case study of Borsa Istanbul," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 13(1), pages 50-70, May.
  • Handle: RePEc:jes:wpaper:y:2021:v:13:i:1:p:50-70

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    1. repec:cup:cbooks:9781107034662 is not listed on IDEAS
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    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. Brooks,Chris, 2014. "Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9781107661455, December.
    6. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    7. repec:zbw:bofitp:2020_016 is not listed on IDEAS
    8. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    9. Ali, Mohsin & Alam, Nafis & Rizvi, Syed Aun R., 2020. "Coronavirus (COVID-19) — An epidemic or pandemic for financial markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    10. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    11. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    12. World Bank, 2020. "The COVID-19 Pandemic [Pandémie De Covid-19]," World Bank Publications - Reports 33696, The World Bank Group.
    13. 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, Oxford University Press, vol. 10(4), pages 742-758.
    14. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    15. Sharif, Arshian & Aloui, Chaker & Yarovaya, Larisa, 2020. "COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach," International Review of Financial Analysis, Elsevier, vol. 70(C).
    16. Fynnwin Prager & Dan Wei & Adam Rose, 2017. "Total Economic Consequences of an Influenza Outbreak in the United States," Risk Analysis, John Wiley & Sons, vol. 37(1), pages 4-19, January.
    17. Ichev, Riste & Marinč, Matej, 2018. "Stock prices and geographic proximity of information: Evidence from the Ebola outbreak," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 153-166.
    18. Del Giudice, Alfonso & Paltrinieri, Andrea, 2017. "The impact of the Arab Spring and the Ebola outbreak on African equity mutual fund investor decisions," Research in International Business and Finance, Elsevier, vol. 41(C), pages 600-612.
    19. Rabhi, Ayoub, 2020. "Stock market vulnerability to the Covid-19 pandemic: Evidence from emerging Asian stock markets," MPRA Paper 101774, University Library of Munich, Germany.
    20. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    H1N1; MERS; Ebola; COVID-19; Stock Market Volatility; Borsa Istanbul;
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