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Volatility Transmission between Islamic and Conventional Equity Markets: Evidence from Causality-in-Variance Test

Author

Listed:
  • Saban Nazlioglu

    () (Department of Econometrics, Pamukkale University, Denizli-Turkey)

  • Shawkat Hammoudeh

    () (Lebow College of Business, Drexel University, Philadelphia, USA)

  • Rangan Gupta

    () (Department of Economics, University of Pretoria)

Abstract

This paper examines whether a volatility/risk transmission exists between the Dow Jones Islamic stock and three conventional stock markets for the U.S., Europe, and Asia during the pre- and the in- and post-2008 crisis periods. It also explores the volatility spillover dynamics between those markets and U.S. Monetary policy, oil prices, global financial risk and uncertainty factors. The recently developed Hafner and Herwartz (2006)’s causality-in-variance test provides evidence of risk transfers between these seemingly different equity markets, indicating a contagion between them. The volatility structure of these markets is dominated by short-run volatility in the first period and by high long-run volatility in the second period. The volatility impulse response analysis indicates a similar volatility transmission pattern although it is characterized by a more volatile and short-lived structure in the second period. It also appears that the Islamic equity market responds to shocks from risk factors and not from the oil price and the U.S. economic policy uncertainty index during both periods.

Suggested Citation

  • Saban Nazlioglu & Shawkat Hammoudeh & Rangan Gupta, 2013. "Volatility Transmission between Islamic and Conventional Equity Markets: Evidence from Causality-in-Variance Test," Working Papers 201384, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201384
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    References listed on IDEAS

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    1. Sangbae Kim & Francis In & Christopher Viney, 2001. "Modelling Linkages Between Australian Financial Futures Markets," Australian Journal of Management, Australian School of Business, vol. 26(1), pages 19-34, June.
    2. Lorenzo Cappiello & Robert F. Engle & Kevin Sheppard, 2006. "Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(4), pages 537-572.
    3. Nazlioglu, Saban & Erdem, Cumhur & Soytas, Ugur, 2013. "Volatility spillover between oil and agricultural commodity markets," Energy Economics, Elsevier, vol. 36(C), pages 658-665.
    4. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, pages 1-27.
    5. 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.
    6. Hong, Yongmiao, 2001. "A test for volatility spillover with application to exchange rates," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 183-224, July.
    7. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    8. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
    9. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    10. Hafner, Christian M. & Herwartz, Helmut, 2006. "A Lagrange multiplier test for causality in variance," Economics Letters, Elsevier, vol. 93(1), pages 137-141, October.
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    Citations

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    Cited by:

    1. Liu, Xueyong & An, Haizhong & Huang, Shupei & Wen, Shaobo, 2017. "The evolution of spillover effects between oil and stock markets across multi-scales using a wavelet-based GARCH–BEKK model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 374-383.
    2. 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.
    3. Mehmet Balcilar & Charl Jooste & Shawkat Hammoudeh & Rangan Gupta & Vassilios Babalos, 2015. "Are there long-run diversification gains from the Dow Jones Islamic finance index?," Applied Economics Letters, Taylor & Francis Journals, vol. 22(12), pages 945-950, August.
    4. repec:eee:pacfin:v:43:y:2017:i:c:p:124-150 is not listed on IDEAS
    5. repec:eee:finana:v:52:y:2017:i:c:p:9-26 is not listed on IDEAS
    6. repec:eee:riibaf:v:42:y:2017:i:c:p:794-815 is not listed on IDEAS
    7. Zaghum Umar & Tahir Suleman, 2017. "Asymmetric Return and Volatility Transmission in Conventional and Islamic Equities," Risks, MDPI, Open Access Journal, vol. 5(2), pages 1-18, March.
    8. Elie Bouri & Riza Demirer & Rangan Gupta & Hardik A. Marfatia, 2017. "Geopolitical Risks and Movements in Islamic Bond and Equity Markets: A Note," Working Papers 201743, University of Pretoria, Department of Economics.
    9. repec:ipg:wpaper:2014-566 is not listed on IDEAS

    More about this item

    Keywords

    Islamic and conventional equity markets; volatility spillover;

    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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G1 - Financial Economics - - General Financial Markets

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