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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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    Cited by:

    1. Marimoutou, Vêlayoudom & Soury, Manel, 2015. "Energy markets and CO2 emissions: Analysis by stochastic copula autoregressive model," Energy, Elsevier, vol. 88(C), pages 417-429.
    2. 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.
    3. repec:eee:riibaf:v:42:y:2017:i:c:p:173-190 is not listed on IDEAS
    4. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2017. "The impact of oil-market shocks on stock returns in major oil-exporting countries: A Markov-switching approach," MPRA Paper 81638, University Library of Munich, Germany.
    5. 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, Marseille, France.
    6. Mnasri, Ayman & Nechi, Salem, 2016. "Impact of terrorist attacks on stock market volatility in emerging markets," Emerging Markets Review, Elsevier, vol. 28(C), pages 184-202.
    7. repec:eee:jimfin:v:86:y:2018:i:c:p:264-280 is not listed on IDEAS
    8. Ben Rejeb, Aymen & Arfaoui, Mongi, 2016. "Conventional and Islamic stock markets: what about financial performance?," MPRA Paper 73495, University Library of Munich, Germany.
    9. 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.
    10. 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.
    11. Mensah, Jones Odei & Premaratne, Gamini, 2014. "Dependence patterns among Banking Sectors in Asia: A Copula Approach," MPRA Paper 60119, University Library of Munich, Germany.
    12. repec:eee:mulfin:v:42-43:y:2017:i::p:116-131 is not listed on IDEAS
    13. repec:spr:jqecon:v:16:y:2018:i:2:d:10.1007_s40953-017-0090-7 is not listed on IDEAS
    14. Vêlayoudom Marimoutou & Manel Soury, 2015. "Energy Markets and CO2 Emissions: Analysis by Stochastic Copula Autoregressive Model," Working Papers halshs-01148746, HAL.

    More about this item

    Keywords

    Copula; tail dependence; GCC stock markets.;

    JEL classification:

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

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