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Dependence patterns across Gulf Arab stock markets: a copula approach

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  • Syed Abul, Basher
  • Salem, Nechi
  • Hui, Zhu

Abstract

Underpinned by rising hydrocarbon revenues, the stock markets of the six GCC (Gulf Cooperation Council) countries have demonstrated significant integration over the past decade. This paper studies the dependence patterns of the bivariate distribution of returns across seven GCC stock markets over the period 2004-2013 using copula models. The results of the marginal models indicate strong volatility persistence in all the seven equity markets. The results from the copula models indicate that the conditional dependence across all 21 pairs of equity markets’ returns is not strictly symmetric in that the lower tail dependence is significantly greater that the upper tail dependence. The stock markets of Abu Dhabi and Dubai appear as the primary source of asymmetric dependence across the different equity market pairs.

Suggested Citation

  • Syed Abul, Basher & Salem, Nechi & Hui, Zhu, 2014. "Dependence patterns across Gulf Arab stock markets: a copula approach," MPRA Paper 56566, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:56566
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    1. John Knight & Colin Lizieri & Stephen Satchell, 2005. "Diversification When It Hurts? The Joint Distributions of Real Estate and Equity Markets," Real Estate & Planning Working Papers rep-wp2005-16, Henley Business School, University of Reading.
    2. repec:ipg:wpaper:2013-023 is not listed on IDEAS
    3. Trivedi, Pravin K. & Zimmer, David M., 2007. "Copula Modeling: An Introduction for Practitioners," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(1), pages 1-111, April.
    4. R.K. Kaundal & Sanjeet Sharma, 2010. "Stock Market Integration," Foreign Trade Review, , vol. 45(3), pages 3-18, October.
    5. Balli Faruk & Louis Rosmy J & Osman Mohamed A, 2009. "International Portfolio Inflows to GCC Markets: Are There Any General Patterns?," Review of Middle East Economics and Finance, De Gruyter, vol. 5(2), pages 45-65, September.
    6. Chau, Frankie & Deesomsak, Rataporn & Wang, Jun, 2014. "Political uncertainty and stock market volatility in the Middle East and North African (MENA) countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 1-19.
    7. Alkulaib, Yaser A. & Najand, Mohammad & Mashayekh, Ahmad, 2009. "Dynamic linkages among equity markets in the Middle East and North African countries," Journal of Multinational Financial Management, Elsevier, vol. 19(1), pages 43-53, February.
    8. Espinoza, Raphael & Prasad, Ananthakrishnan & Williams, Oral, 2011. "Regional financial integration in the GCC," Emerging Markets Review, Elsevier, vol. 12(4), pages 354-370.
    9. Lorán Chollete & Andréas Heinen & Alfonso Valdesogo, 2009. "Modeling International Financial Returns with a Multivariate Regime-switching Copula," Journal of Financial Econometrics, Oxford University Press, vol. 7(4), pages 437-480, Fall.
    10. 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.
    11. Jushan Bai & Serena Ng, 2005. "Tests for Skewness, Kurtosis, and Normality for Time Series Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 49-60, January.
    12. Balli, Faruk & Basher, Syed Abul & Jean Louis, Rosmy, 2013. "Sectoral equity returns and portfolio diversification opportunities across the GCC region," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 33-48.
    13. Giacomini, Enzo & Härdle, Wolfgang & Spokoiny, Vladimir, 2009. "Inhomogeneous Dependence Modeling with Time-Varying Copulae," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 224-234.
    14. Ning, Cathy, 2010. "Dependence structure between the equity market and the foreign exchange market-A copula approach," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 743-759, September.
    15. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    16. Wei Sun & Svetlozar Rachev & Frank Fabozzi & Petko Kalev, 2009. "A new approach to modeling co-movement of international equity markets: evidence of unconditional copula-based simulation of tail dependence," Empirical Economics, Springer, vol. 36(1), pages 201-229, February.
    17. Hwang, Soosung & Satchell, Stephen E, 1999. "Modelling Emerging Market Risk Premia Using Higher Moments," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 4(4), pages 271-296, October.
    18. 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.
    19. Nelson, Daniel B & Cao, Charles Q, 1992. "Inequality Constraints in the Univariate GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(2), pages 229-235, April.
    20. repec:ipg:wpaper:23 is not listed on IDEAS
    21. Andrew Ang & Joseph Chen & Yuhang Xing, 2006. "Downside Risk," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1191-1239.
      • Andrew Ang & Joseph Chen & Yuhang Xing, 2005. "Downside risk," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
    22. Talla Al-Deehani & Imad A. Moosa, 2006. "Volatility Spillover in Regional Emerging Stock Markets: A Structural Time-Series Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 42(4), pages 78-89, July.
    23. Ang, Andrew & Chen, Joseph, 2002. "Asymmetric correlations of equity portfolios," Journal of Financial Economics, Elsevier, vol. 63(3), pages 443-494, March.
    24. Ananth Rao, 2008. "Analysis of volatility persistence in Middle East emerging equity markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 25(2), pages 93-111, June.
    25. 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.
    26. Heni Boubaker & Nadia Sghaier, 2013. "Instability and time," Working Papers 2013-23, Department of Research, Ipag Business School.
    27. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael, 2009. "Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 829-842, August.
    28. Lu Yang & Shigeyuki Hamori, 2013. "Dependence structure among international stock markets: a GARCH--copula analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 23(23), pages 1805-1817, December.
    29. Bley, Jorg & Chen, Kim Heng, 2006. "Gulf Cooperation Council (GCC) stock markets: The dawn of a new era," Global Finance Journal, Elsevier, vol. 17(1), pages 75-91, September.
    30. Demirer, Riza, 2013. "Can advanced markets help diversify risks in frontier stock markets? Evidence from Gulf Arab stock markets," Research in International Business and Finance, Elsevier, vol. 29(C), pages 77-98.
    31. Kim, Tae-Hwan & White, Halbert, 2004. "On more robust estimation of skewness and kurtosis," Finance Research Letters, Elsevier, vol. 1(1), pages 56-73, March.
    32. 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.
    33. Kearney, Colm & Lucey, Brian M., 2004. "International equity market integration: Theory, evidence and implications," International Review of Financial Analysis, Elsevier, vol. 13(5), pages 571-583.
    34. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    35. Balcilar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat, 2013. "Investor herds and regime-switching: Evidence from Gulf Arab stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 295-321.
    36. François Longin & Bruno Solnik, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
    37. Abdmoulah, Walid, 2010. "Testing the evolving efficiency of Arab stock markets," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 25-34, January.
    38. Ms. May Y Khamis & Mr. Abdelhak S Senhadji, 2010. "Impact of the Global Financial Crisis on the Gulf Cooperation Council Countries and Challenges Ahead: An Update," IMF Departmental Papers / Policy Papers 2010/007, International Monetary Fund.
    39. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-547, August.
    40. Robert J. Shiller, 2001. "Bubbles, Human Judgment, and Expert Opinion," Cowles Foundation Discussion Papers 1303, Cowles Foundation for Research in Economics, Yale University.
    41. Ling Hu, 2006. "Dependence patterns across financial markets: a mixed copula approach," Applied Financial Economics, Taylor & Francis Journals, vol. 16(10), pages 717-729.
    42. Osamah Al-Khazali & Ali Darrat & Mohsen Saad, 2006. "Intra-regional integration of the GCC stock markets: the role of market liberalization," Applied Financial Economics, Taylor & Francis Journals, vol. 16(17), pages 1265-1272.
    43. A. Maghyereh & B. Awartani, 2012. "Return and volatility spillovers between Dubai financial market and Abu Dhabi Stock Exchange in the UAE," Applied Financial Economics, Taylor & Francis Journals, vol. 22(10), pages 837-848, May.
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    3. Vêlayoudom Marimoutou & Manel Soury, 2015. "Energy Markets and CO2 Emissions: Analysis by Stochastic Copula Autoregressive Model," AMSE Working Papers 1520, Aix-Marseille School of Economics, France.
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    5. Sanjay Sehgal & Piyush Pandey & Florent Deisting, 2018. "Time varying integration amongst the South Asian equity markets: An empirical study," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1452328-145, January.
    6. Lee, Chien-Chiang & Chen, Mei-Ping & Chang, Chi-Hung, 2014. "Industry co-movement and cross-listing: Do home country factors matter?," Japan and the World Economy, Elsevier, vol. 32(C), pages 96-110.
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    8. Syed Abul Basher & Alfred Haug & Perry Sadorsky, 2017. "The impact of oil-market shocks on stock returns in major oil-exporting countries: A Markov-switching approach," Working Papers 1710, University of Otago, Department of Economics, revised Oct 2017.
    9. Sanjay Sehgal & Piyush Pandey & Florent Deisting, 2018. "Stock Market Integration Dynamics and its Determinants in the East Asian Economic Community Region," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 389-425, June.
    10. Charfeddine, Lanouar & Al Refai, Hisham, 2019. "Political tensions, stock market dependence and volatility spillover: Evidence from the recent intra-GCC crises," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    11. Abakah, Emmanuel Joel Aikins & Addo, Emmanuel & Gil-Alana, Luis A. & Tiwari, Aviral Kumar, 2021. "Re-examination of international bond market dependence: Evidence from a pair copula approach," International Review of Financial Analysis, Elsevier, vol. 74(C).
    12. Mensah, Jones Odei & Alagidede, Paul, 2017. "How are Africa's emerging stock markets related to advanced markets? Evidence from copulas," Economic Modelling, Elsevier, vol. 60(C), pages 1-10.
    13. Sanjay Sehgal & Piyush Pandey & Florent Deisting, 2018. "Time varying integration amongst the South Asian equity markets: An empirical study," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1452328-145, January.
    14. Boako, Gideon & Tiwari, Aviral Kumar & Ibrahim, Muazu & Ji, Qiang, 2019. "Analysing dynamic dependence between gold and stock returns: Evidence using stochastic and full-range tail dependence copula models," Finance Research Letters, Elsevier, vol. 31(C).
    15. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2018. "The impact of oil-market shocks on stock returns in major oil-exporting countries," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 264-280.
    16. Ben Rejeb, Aymen & Arfaoui, Mongi, 2016. "Conventional and Islamic stock markets: what about financial performance?," MPRA Paper 73495, University Library of Munich, Germany.
    17. Youssef, Mouna & Mokni, Khaled, 2018. "On the effect of herding behavior on dependence structure between stock markets: Evidence from GCC countries," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 52-63.
    18. T. P. Ghosh, 2016. "Oil Dependency of GCC Stock Markets: Co-integration of GCC Stock Market Indices and Oil Price," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(1), pages 188-188, December.
    19. Ben Rejeb, Aymen, 2016. "Volatility Spillover between Islamic and conventional stock markets: evidence from Quantile Regression analysis," MPRA Paper 73302, University Library of Munich, Germany.
    20. Mensah, Jones Odei & Premaratne, Gamini, 2014. "Dependence patterns among Banking Sectors in Asia: A Copula Approach," MPRA Paper 60119, University Library of Munich, Germany.
    21. Mokni, Khaled & Mansouri, Faysal, 2017. "Conditional dependence between international stock markets: A long memory GARCH-copula model approach," Journal of Multinational Financial Management, Elsevier, vol. 42, pages 116-131.
    22. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Le, TN-Lan & Leyva-de la Hiz, Dante I., 2021. "Markov-switching dependence between artificial intelligence and carbon price: The role of policy uncertainty in the era of the 4th industrial revolution and the effect of COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    23. Vêlayoudom Marimoutou & Manel Soury, 2015. "Energy Markets and CO2 Emissions: Analysis by Stochastic Copula Autoregressive Model," Working Papers halshs-01148746, HAL.

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    More about this item

    Keywords

    Copula; tail dependence; GCC stock markets.;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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