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Geopolitical Risk and Tourism Stocks of Emerging Economies

Author

Listed:
  • Mudassar Hasan

    (Lahore Business School, The University of Lahore, Lahore 54000, Pakistan)

  • Muhammad Abubakr Naeem

    (School of Economics and Finance, Massey University, Palmerston North 4442, New Zealand
    Business Administration Department, Faculty of Management Sciences, ILMA University, Karachi 75190, Pakistan)

  • Muhammad Arif

    (Department of Business Administration, Shaheed Benazir Bhutto University, Shaheed Benazirabad 67450, Pakistan)

  • Syed Jawad Hussain Shahzad

    (Finance, Control and Law Department, Montpellier Business School, 34080 Montpellier, France
    Department of Accounting, Analysis and Audit, South Ural State University, Chelyabinsk 454080, Russia)

  • Safwan Mohd Nor

    (Faculty of Business, Economics and Social Development, University of Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia
    Victoria Institute of Strategic Economic Studies, Victoria University, Melbourne, Victoria 3000, Australia)

Abstract

A bulk of literature suggests that geopolitical events such as terrorist attacks dampen tourism demand. However, there is little research on whether this effect helps predict the return of the tourism equity sector. We provide country-level evidence on whether local and global geopolitical risk (GPR) predicts the first and second moments of tourism stocks in emerging economies. This objective was achieved by employing the non-parametric causality-in-quantiles (CiQ) model and a cross-quantilogram (CQ) test, which allowed us to uncover the predictive potential of GPR for the tourism sector equities. Our findings, obtained through the CiQ model, suggest that while both local and global GPRs carry significant potential for predicting the returns and volatility of tourism stocks of most emerging economies under normal market conditions, they seem to play no such role in certain countries. These countries include South Korea, for which only a limited number of tourism stocks trade on the domestic stock market compared to other sectors, and Colombia, for which both the domestic stock market and tourism sectors are at an emerging stage. Further, it turns out that, compared to its local counterpart, global GPR has a more pronounced predictive power for the tourism stocks of emerging economies. Finally, with some exceptions, the results are qualitatively similar, and hence reasonably robust, to those when a directional predictability model is applied. Given that geopolitical shocks are largely unanticipated, our findings underscore the importance of a robust tourism sector that can help the market recover to stability as well as an open economy that allows local investors to diversify country-specific risks in their portfolios. Implications and directions for future research are discussed.

Suggested Citation

  • Mudassar Hasan & Muhammad Abubakr Naeem & Muhammad Arif & Syed Jawad Hussain Shahzad & Safwan Mohd Nor, 2020. "Geopolitical Risk and Tourism Stocks of Emerging Economies," Sustainability, MDPI, vol. 12(21), pages 1-21, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9261-:d:441495
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    References listed on IDEAS

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    1. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    2. Steven Buigut & Djesika D. Amendah, 2016. "Effect of terrorism on demand for tourism in Kenya," Tourism Economics, , vol. 22(5), pages 928-938, October.
    3. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    4. Balcilar, Mehmet & Bonato, Matteo & Demirer, Riza & Gupta, Rangan, 2018. "Geopolitical risks and stock market dynamics of the BRICS," Economic Systems, Elsevier, vol. 42(2), pages 295-306.
    5. Mehmet Balcilar & Stelios Bekiros & Rangan Gupta, 2017. "The role of news-based uncertainty indices in predicting oil markets: a hybrid nonparametric quantile causality method," Empirical Economics, Springer, vol. 53(3), pages 879-889, November.
    6. Dragouni, Mina & Filis, George & Gavriilidis, Konstantinos & Santamaria, Daniel, 2016. "Sentiment, mood and outbound tourism demand," Annals of Tourism Research, Elsevier, vol. 60(C), pages 80-96.
    7. Han, Heejoon & Linton, Oliver & Oka, Tatsushi & Whang, Yoon-Jae, 2016. "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series," Journal of Econometrics, Elsevier, vol. 193(1), pages 251-270.
    8. Bekiros, Stelios & Gupta, Rangan & Majumdar, Anandamayee, 2016. "Incorporating economic policy uncertainty in US equity premium models: A nonlinear predictability analysis," Finance Research Letters, Elsevier, vol. 18(C), pages 291-296.
    9. Oguz Ersan & Sagi Akron & Ender Demir, 2019. "The effect of European and global uncertainty on stock returns of travel and leisure companies," Tourism Economics, , vol. 25(1), pages 51-66, February.
    10. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    11. Bredin, Don & Conlon, Thomas & Potì, Valerio, 2017. "The price of shelter - Downside risk reduction with precious metals," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 48-58.
    12. Drakos, Konstantinos, 2004. "Terrorism-induced structural shifts in financial risk: airline stocks in the aftermath of the September 11th terror attacks," European Journal of Political Economy, Elsevier, vol. 20(2), pages 435-446, June.
    13. Faruk Balli & Gazi Salah Uddin & Syed Jawad Hussain Shahzad, 2019. "Geopolitical risk and tourism demand in emerging economies," Tourism Economics, , vol. 25(6), pages 997-1005, September.
    14. Linton, O. & Whang, Yoon-Jae, 2007. "The quantilogram: With an application to evaluating directional predictability," Journal of Econometrics, Elsevier, vol. 141(1), pages 250-282, November.
    15. Jeong, Kiho & Härdle, Wolfgang K. & Song, Song, 2012. "A Consistent Nonparametric Test For Causality In Quantile," Econometric Theory, Cambridge University Press, vol. 28(4), pages 861-887, August.
    16. Nishiyama, Yoshihiko & Hitomi, Kohtaro & Kawasaki, Yoshinori & Jeong, Kiho, 2011. "A consistent nonparametric test for nonlinear causality—Specification in time series regression," Journal of Econometrics, Elsevier, vol. 165(1), pages 112-127.
    17. Dirk Brounen & Jeroen Derwall, 2010. "The Impact of Terrorist Attacks on International Stock Markets," European Financial Management, European Financial Management Association, vol. 16(4), pages 585-598, September.
    18. Ramazan Gencay & Nikola Gradojevic & Faruk Selcuk & Brandon Whitcher, 2010. "Asymmetry of information flow between volatilities across time scales," Quantitative Finance, Taylor & Francis Journals, vol. 10(8), pages 895-915.
    19. Demir, Ender & Gozgor, Giray, 2018. "Does economic policy uncertainty affect Tourism?," Annals of Tourism Research, Elsevier, vol. 69(C), pages 15-17.
    20. Thomas Conlon & John Cotter & Ramazan Gençay, 2016. "Commodity futures hedging, risk aversion and the hedging horizon," The European Journal of Finance, Taylor & Francis Journals, vol. 22(15), pages 1534-1560, December.
    21. Konstantinos Drakos & Ali M. Kutan, 2003. "Regional Effects of Terrorism on Tourism in Three Mediterranean Countries," Journal of Conflict Resolution, Peace Science Society (International), vol. 47(5), pages 621-641, October.
    22. Howard Kunreuther & Erwann Michel-Kerjan, 2004. "Policy Watch: Challenges for Terrorism Risk Insurance in the United States," Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 201-214, Fall.
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