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The impact of FIFA’s official announcements on the stock market of Qatar: The case of the 2022 World Cup

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  • Refai, Hisham Al
  • Eissa, Mohamed Abdelaziz

Abstract

This study examines the impact of the FIFA’s official announcements on Doha Stock Exchange (DSE) of Qatar with respect to the 2022 World Cup. Using the abnormal unsystematic volatility method of Hilliard and Savickas (2002), our empirical findings reveal that the DSE market is sensitive to FIFA’s announcements about the 2022 World Cup. We find that four out of six FIFA announcements act as primary drivers to the DSE market volatility. The significant reactions of the DSE market to these announcements unveil the investors’ sentiments about the fate of the governmental and private expenditures on medium- and long-term projects undertaken in anticipation of hosting the 2022 World Cup. The results have some implications to investors in this newly emerging market related to this global sporting event. Any future announcements, good or bad, are likely to impact share prices in DSE market and trigger portfolio reallocation by local and international investors, leading to increased volatility.

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  • Refai, Hisham Al & Eissa, Mohamed Abdelaziz, 2017. "The impact of FIFA’s official announcements on the stock market of Qatar: The case of the 2022 World Cup," Research in International Business and Finance, Elsevier, vol. 41(C), pages 347-353.
    • Handle: RePEc:eee:riibaf:v:41:y:2017:i:c:p:347-353
    DOI: 10.1016/j.ribaf.2017.04.032
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    1. Asger Lunde & Peter R. Hansen, 2005. "A forecast comparison of volatility models: does anything beat a GARCH(1,1)?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 873-889.
    2. António Martins & Ana Serra, 2011. "Market impact of international sporting and cultural events," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 35(4), pages 382-416, October.
    3. Franklin Allen & Douglas Gale, 2000. "Financial Contagion," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 1-33, February.
    4. Jimmy E. Hilliard & Robert Savickas, 2002. "On the Statistical Significance of Event Effects on Unsystematic Volatility," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 25(4), pages 447-462, December.
    5. Yarovaya, Larisa & Brzeszczyński, Janusz & Lau, Chi Keung Marco, 2016. "Volatility spillovers across stock index futures in Asian markets: Evidence from range volatility estimators," Finance Research Letters, Elsevier, vol. 17(C), pages 158-166.
    6. Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
    7. Ben Rejeb, Aymen & Arfaoui, Mongi, 2016. "Financial market interdependencies: A quantile regression analysis of volatility spillover," Research in International Business and Finance, Elsevier, vol. 36(C), pages 140-157.
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. Calvo, Guillermo A. & Mendoza, Enrique G., 2000. "Rational contagion and the globalization of securities markets," Journal of International Economics, Elsevier, vol. 51(1), pages 79-113, June.
    10. Gabrielle Berman & Robert Brooks & Sinclair Davidson, 2000. "The Sydney Olympic Games announcement and Australian stock market reaction," Applied Economics Letters, Taylor & Francis Journals, vol. 7(12), pages 781-784.
    11. Martin Mirman & Rajneesh Sharma, 2010. "Stock market reaction to Olympic Games announcement," Applied Economics Letters, Taylor & Francis Journals, vol. 17(5), pages 463-466.
    12. Kasimati, Evangelia & Dawson, Peter, 2009. "Assessing the impact of the 2004 Olympic Games on the Greek economy: A small macroeconometric model," Economic Modelling, Elsevier, vol. 26(1), pages 139-146, January.
    13. Christos Floros, 2010. "The impact of the Athens Olympic Games on the Athens Stock Exchange," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 37(6), pages 647-657, November.
    14. Yarovaya, Larisa & Brzeszczyński, Janusz & Lau, Chi Keung Marco, 2016. "Intra- and inter-regional return and volatility spillovers across emerging and developed markets: Evidence from stock indices and stock index futures," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 96-114.
    15. Heather Mitchell & Mark Fergusson Stewart, 2015. "What should you pay to host a party? An economic analysis of hosting sports mega-events," Applied Economics, Taylor & Francis Journals, vol. 47(15), pages 1550-1561, March.
    16. Vance L. Martin & Mardi Dungey, 2007. "Unravelling financial market linkages during crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 89-119.
    17. Nikolaos Veraros & Evangelia Kasimati & Peter Dawson, 2004. "The 2004 Olympic Games announcement and its effect on the Athens and Milan stock exchanges," Applied Economics Letters, Taylor & Francis Journals, vol. 11(12), pages 749-753.
    18. McKenzie, Michael D. & Brooks, Robert D. & Faff, Robert W. & Ho, Yew Kee, 2000. "Exploring the economic rationale of extremes in GARCH generated betas The case of U.S. banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 40(1), pages 85-106.
    19. 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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    3. Abel Meza Talavera & Sami G. Al-Ghamdi & Muammer Koç, 2019. "Sustainability in Mega-Events: Beyond Qatar 2022," Sustainability, MDPI, vol. 11(22), pages 1-27, November.
    4. Al Refai, Hisham & Eissa, Mohamad Abdelaziz & Zeitun, Rami, 2021. "The dynamics of the relationship between real estate and stock markets in an energy-based economy: The case of Qatar," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    5. Hisham Al Refai & Gazi Mainul Hassan, 2018. "The Impact of Market-wide Volatility on Time-varying Risk: Evidence from Qatar Stock Exchange," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(2_suppl), pages 239-258, August.

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