IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v29y2014icp512-524.html
   My bibliography  Save this article

Patterns of volatility transmissions within regime switching across GCC and global markets

Author

Listed:
  • Khalifa, Ahmed A.A.
  • Hammoudeh, Shawkat
  • Otranto, Edoardo

Abstract

Unlike previous studies, this paper examines volatility transmission patterns for pairs of six stock markets of countries of the Gulf Cooperation Council (GCC) and pairs of these markets with the three global markets (S&P 500 index, Oil-WTI prices and MSCI-world), using the Multi-Chain Markov Switching (MCMS) model. This approach allows for a distinction between well diverse transmission patterns including volatility spillover, interdependence, independence and co-movements, given changes from high to low volatility regimes and vice versa. The results find evidence of different transmission patterns between the GCC and the global markets, with stronger connections with the global equity than with the oil markets. These patterns are also highly sensitive to the regimes of the selected markets which are characterized by turbulence or tranquility. For the first global market (Oil-WTI), the results show evidence of strong interdependence between Oil and each of the Kuwait and Abu Dhabi markets. Additionally, there is spillover from Oil-WTI to Dubai whose economy depends on oil, real estate and tourism. Surprisingly, we find evidence of independence between Oil and each of the Saudi Arabia, Qatar and Oman markets. For the second global market (the U.S. S&P 500 index), the results support strong interdependence with Saudi Arabia, Dubai and Abu Dhabi. There is also spillover from the S&P 500 index to Kuwait and Oman. More interestingly, we find spillover from Qatar to the S&P 500 index. For the third global market (MSCI-World), there is interdependence between MSCI and Dubai. We also find evidence of spillover from the MSCI-world to Kuwait and Saudi Arabia. Finally, we provide results in terms of inference on the regimes of high and low volatility, allowing for the interpretation of the financial shocks and the dates in which they are transmitted from one market to another. Policy implications are also provided.

Suggested Citation

  • Khalifa, Ahmed A.A. & Hammoudeh, Shawkat & Otranto, Edoardo, 2014. "Patterns of volatility transmissions within regime switching across GCC and global markets," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 512-524.
    • Handle: RePEc:eee:reveco:v:29:y:2014:i:c:p:512-524
    DOI: 10.1016/j.iref.2013.08.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056013000762
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.iref.2013.08.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Edoardo Otranto, 2005. "The multi-chain Markov switching model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(7), pages 523-537.
    2. Gallo, Giampiero M. & Otranto, Edoardo, 2008. "Volatility spillovers, interdependence and comovements: A Markov Switching approach," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3011-3026, February.
    3. Marcello Pericoli & Massimo Sbracia, 2003. "A Primer on Financial Contagion," Journal of Economic Surveys, Wiley Blackwell, vol. 17(4), pages 571-608, September.
    4. Kim, Won Joong & Hammoudeh, Shawkat, 2013. "Impacts of global and domestic shocks on inflation and economic growth for actual and potential GCC member countries," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 298-317.
    5. Giampiero M. Gallo & Edoardo Otranto, 2007. "Volatility transmission across markets: a Multichain Markov Switching model," Applied Financial Economics, Taylor & Francis Journals, vol. 17(8), pages 659-670.
    6. Hammoudeh, Shawkat & Choi, Kyongwook, 2007. "Characteristics of permanent and transitory returns in oil-sensitive emerging stock markets: The case of GCC countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(3), pages 231-245, July.
    7. 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.
    8. Shawkat Hammoudeh & Eisa Aleisa, 2004. "Dynamic Relationships among GCC Stock Markets and Nymex Oil Futures," Contemporary Economic Policy, Western Economic Association International, vol. 22(2), pages 250-269, April.
    9. Assaf Ata, 2003. "Transmission of Stock Price Movements: The Case of GCC Stock Markets," Review of Middle East Economics and Finance, De Gruyter, vol. 1(2), pages 73-92, August.
    10. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    11. Giampiero M. Gallo & Margherita Velucchi, 2009. "Market interdependence and financial volatility transmission in East Asia," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(1), pages 24-44.
    12. Jouini, Jamel, 2013. "Stock markets in GCC countries and global factors: A further investigation," Economic Modelling, Elsevier, vol. 31(C), pages 80-86.
    13. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    14. Malik, Farooq & Hammoudeh, Shawkat, 2007. "Shock and volatility transmission in the oil, US and Gulf equity markets," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 357-368.
    15. Naifar, Nader & Al Dohaiman, Mohammed Saleh, 2013. "Nonlinear analysis among crude oil prices, stock markets' return and macroeconomic variables," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 416-431.
    16. Hammoudeh, Shawkat & Choi, Kyongwook, 2006. "Behavior of GCC stock markets and impacts of US oil and financial markets," Research in International Business and Finance, Elsevier, vol. 20(1), pages 22-44, March.
    17. Celso Brunetti & Roberto S. Mariano & Chiara Scotti & Augustine H. H. Tan, 2003. "Markov Switching Garch Models of Currency Crises in Southeast Asia," PIER Working Paper Archive 03-008, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    Full references (including those not matched with items on IDEAS)

    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. A. Khalifa & S. Hammoudeh & E. Otranto, 2012. "Volatility Spillover, Interdependence, Comovements across GCC, Oil and U.S. Markets and Portfolio Management Strategies in a Regime-Changing Environment," Working Paper CRENoS 201209, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    2. Khalifa, Ahmed A.A. & Hammoudeh, Shawkat & Otranto, Edoardo, 2014. "Extracting portfolio management strategies from volatility transmission models in regime-changing environments: Evidence from GCC and global markets," Economic Modelling, Elsevier, vol. 41(C), pages 365-374.
    3. Khalifa, Ahmed A. & Alsarhan, Abdulwahab A. & Bertuccelli, Pietro, 2017. "Causes and consequences of energy price shocks on petroleum-based stock market using the spillover asymmetric multiplicative error model," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 307-314.
    4. Awartani, Basel & Maghyereh, Aktham I. & Shiab, Mohammad Al, 2013. "Directional spillovers from the U.S. and the Saudi market to equities in the Gulf Cooperation Council countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 224-242.
    5. Zheng, Tingguo & Zuo, Haomiao, 2013. "Reexamining the time-varying volatility spillover effects: A Markov switching causality approach," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 643-662.
    6. Gallo, Giampiero M. & Otranto, Edoardo, 2008. "Volatility spillovers, interdependence and comovements: A Markov Switching approach," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3011-3026, February.
    7. repec:wyi:journl:002202 is not listed on IDEAS
    8. Eli Bouri & Andre Eid & Imad Kachacha, 2014. "The Dynamic Behaviour and Determinants of Linkages among Middle Eastern and North African Stock Exchanges," Economic Issues Journal Articles, Economic Issues, vol. 19(1), pages 1-22, March.
    9. Balcılar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat, 2015. "Regional and global spillovers and diversification opportunities in the GCC equity sectors," Emerging Markets Review, Elsevier, vol. 24(C), pages 160-187.
    10. Giampiero M. Gallo & Edoardo Otranto, 2007. "Volatility transmission across markets: a Multichain Markov Switching model," Applied Financial Economics, Taylor & Francis Journals, vol. 17(8), pages 659-670.
    11. repec:ipg:wpaper:2014-500 is not listed on IDEAS
    12. Mohamed El Hédi Arouri & Christophe Rault, 2010. "Les effets des fluctuations du prix du pétrole sur les marchés boursiers dans les pays du Golfe," Revue économique, Presses de Sciences-Po, vol. 61(5), pages 945-959.
    13. Emmanuel Joel Aikins Abakah & Aviral Kumar Tiwari & Imhotep Paul Alagidede & Shawkat Hammoudeh, 2023. "Nonlinearity in the causality and systemic risk spillover between the OPEC oil and GCC equity markets: a pre- and post-financial crisis analysis," Empirical Economics, Springer, vol. 65(3), pages 1027-1103, September.
    14. Awartani, Basel & Maghyereh, Aktham Issa, 2013. "Dynamic spillovers between oil and stock markets in the Gulf Cooperation Council Countries," Energy Economics, Elsevier, vol. 36(C), pages 28-42.
    15. Marcel Aloy & Gilles de Truchis & Gilles Dufrénot & Benjamin Keddad, 2013. "Shift-Volatility Transmission in East Asian Equity Markets," Working Papers halshs-00935364, HAL.
    16. Fenech, Jean-Pierre & Vosgha, Hamed, 2019. "Oil price and Gulf Corporation Council stock indices: New evidence from time-varying copula models," Economic Modelling, Elsevier, vol. 77(C), pages 81-91.
    17. E. Otranto, 2012. "Spillover Effects in the Volatility of Financial Markets," Working Paper CRENoS 201217, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    18. Khalifa, Ahmed A.A. & Otranto, Edoardo & Hammoudeh, Shawkat & Ramchander, Sanjay, 2016. "Volatility transmission across currencies and commodities with US uncertainty measures," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 63-83.
    19. Alotaibi, Abdullah R. & Mishra, Anil V., 2015. "Global and regional volatility spillovers to GCC stock markets," Economic Modelling, Elsevier, vol. 45(C), pages 38-49.
    20. A. Khalifa & S. Hammoudeh & E. Otranto & S. Ramchander, 2012. "Volatility Transmission across Currency, Commodity and Equity Markets under Multi-Chain Regime Switching: Implications for Hedging and Portfolio Allocation," Working Paper CRENoS 201214, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    21. Berna Aydoğan & Gökçe Tunç & Tezer Yelkenci, 2017. "The impact of oil price volatility on net-oil exporter and importer countries’ stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 231-253, August.
    22. E. Otranto, 2024. "A Vector Multiplicative Error Model with Spillover Effects and Co-movements," Working Paper CRENoS 202404, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

    More about this item

    Keywords

    GCC markets; Global Markets; Multi-chain MS model; Transmissions;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    Statistics

    Access and download statistics

    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:eee:reveco:v:29:y:2014:i:c:p:512-524. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    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.