IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i21p9261-d441495.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/21/9261/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/21/9261/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    9. 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.
    10. 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.
    11. Demir, Ender & Gozgor, Giray, 2018. "Does economic policy uncertainty affect Tourism?," Annals of Tourism Research, Elsevier, vol. 69(C), pages 15-17.
    12. 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.
    13. 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.
    14. Steven Buigut & Djesika D. Amendah, 2016. "Effect of terrorism on demand for tourism in Kenya," Tourism Economics, , vol. 22(5), pages 928-938, October.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Naeem, Muhammad Abubakr & Qureshi, Fiza & Arif, Muhammad & Balli, Faruk, 2021. "Asymmetric relationship between gold and Islamic stocks in bearish, normal and bullish market conditions," Resources Policy, Elsevier, vol. 72(C).
    2. Raheem, Ibrahim D. & le Roux, Sara, 2023. "Geopolitical risks and tourism stocks: New evidence from causality-in-quantile approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 1-7.
    3. Alfredo Coelho & Victor Manuel Castillo Girón, 2023. "Profiling Tourist Segmentation of Heritage Destinations in Emerging Markets: The Case of Tequila Visitors," Sustainability, MDPI, vol. 15(5), pages 1-15, February.

    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. Yonghong Jiang & Gengyu Tian & Yiqi Wu & Bin Mo, 2022. "Impacts of geopolitical risks and economic policy uncertainty on Chinese tourism‐listed company stock," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 320-333, January.
    2. Nicholas Apergis & Matteo Bonato & Rangan Gupta & Clement Kyei, 2016. "Does Geopolitical Risks Predict Stock Returns and Volatility of Leading Defense Companies? Evidence from a Nonparametric Approach," Working Papers 201671, University of Pretoria, Department of Economics.
    3. James E Payne & Nicholas Apergis, 2022. "The influence of economic policy uncertainty and geopolitical risk on US citizens overseas air passenger travel by regional destination," Tourism Economics, , vol. 28(5), pages 1333-1341, August.
    4. Ahdi Noomen Ajmi & Roula Inglesi-Lotz, 2021. "Revisiting the Kuznets Curve Hypothesis for Tunisia: Carbon Dioxide vs. Ecological Footprint," Working Papers 202171, University of Pretoria, Department of Economics.
    5. Godil, Danish Iqbal & Sarwat, Salman & Sharif, Arshian & Jermsittiparsert, Kittisak, 2020. "How oil prices, gold prices, uncertainty and risk impact Islamic and conventional stocks? Empirical evidence from QARDL technique," Resources Policy, Elsevier, vol. 66(C).
    6. Raheem, Ibrahim D. & le Roux, Sara, 2023. "Geopolitical risks and tourism stocks: New evidence from causality-in-quantile approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 1-7.
    7. Das, Debojyoti & Kannadhasan, M. & Bhattacharyya, Malay, 2019. "Do the emerging stock markets react to international economic policy uncertainty, geopolitical risk and financial stress alike?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 1-19.
    8. Gupta, Rangan & Risse, Marian & Volkman, David A. & Wohar, Mark E., 2019. "The role of term spread and pattern changes in predicting stock returns and volatility of the United Kingdom: Evidence from a nonparametric causality-in-quantiles test using over 250 years of data," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 391-405.
    9. Engin Bekar, 2022. "The Relationship Between Geopolitical Risks and Housing Returns in Türkiye: Evidence from the Cross – Quantilogram," International Econometric Review (IER), Econometric Research Association, vol. 14(2), pages 59-71, June.
    10. Duan, Kun & Ren, Xiaohang & Wen, Fenghua & Chen, Jinyu, 2023. "Evolution of the information transmission between Chinese and international oil markets: A quantile-based framework," Journal of Commodity Markets, Elsevier, vol. 29(C).
    11. Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2019. "The role of time‐varying rare disaster risks in predicting bond returns and volatility," Review of Financial Economics, John Wiley & Sons, vol. 37(3), pages 327-340, July.
    12. Mehmet Balcilar & Esin Cakan & Rangan Gupta, 2016. "Does U.S. News Impact Asian Emerging Markets? Evidence from Nonparametric Causality-in-Quantiles Test," Working Papers 201631, University of Pretoria, Department of Economics.
    13. Herman Suzana, 2023. "Dynamic Common Correlated Effects of Geopolitical Risk on International Tourism Arrivals," Folia Oeconomica Stetinensia, Sciendo, vol. 23(2), pages 132-149, December.
    14. Nikolaos Antonakakis & Mehmet Balcilar & Elie Bouri & Rangan Gupta, 2018. "Is Wine A Safe-Haven? Evidence From A Nonparametric Causality-In-Quantiles Test," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 95-114, December.
    15. Maghyereh, Aktham & Abdoh, Hussein, 2020. "Tail dependence between Bitcoin and financial assets: Evidence from a quantile cross-spectral approach," International Review of Financial Analysis, Elsevier, vol. 71(C).
    16. Chishti, Muhammad Zubair & Khalid, Ali Awais & Sana, Moniba, 2023. "Conflict vs sustainability of global energy, agricultural and metal markets: A lesson from Ukraine-Russia war," Resources Policy, Elsevier, vol. 84(C).
    17. Mehmet Balcilar & Deven Bathia & Riza Demirer & Rangan Gupta, 2017. "Credit Ratings and Predictability of Stock Returns and Volatility of the BRICS and the PIIGS: Evidence from a Nonparametric Causality-in-Quantiles Approach," Working Papers 201719, University of Pretoria, Department of Economics.
    18. Yang, Kun & Wei, Yu & Li, Shouwei & Liu, Liang & Wang, Lei, 2021. "Global financial uncertainties and China’s crude oil futures market: Evidence from interday and intraday price dynamics," Energy Economics, Elsevier, vol. 96(C).
    19. Khan, Nasir & Saleem, Asima & Ozkan, Oktay, 2023. "Do geopolitical oil price risk influence stock market returns and volatility of Pakistan: Evidence from novel non-parametric quantile causality approach," Resources Policy, Elsevier, vol. 81(C).
    20. 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.

    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:gam:jsusta:v:12:y:2020:i:21:p:9261-:d:441495. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.