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Effects of international gold market on stock exchange volatility: evidence from asean emerging stock markets

Author

Listed:
  • Giam Quang Do

    (Chiangmai University and Hanoi University of Agriculture)

  • Michael Mcaleer

    (Erasmus University Rotterdam and National Chung Hsing University)

  • Songsak Sriboonchitta

    (Chiangmai University)

Abstract

This paper examines behaviors of returns and volatility of ASEAN emerging stock markets (Indonesia, Malaysia, Philippines, Thailand and Vietnam), incorporating with the effects from the international gold market. The estimates of GARCH(1,1) and GJR(1,1) for these stock markets indicate that the GJR(1,1) model is preferred to GARCH(1,1), except Vietnam. However, under the exogenous effects from international gold market such as the 1 day lagged returns and the 1 day lagged volatility of gold, the GARCH(1,1)-X model captures better stock market volatility behavior than GJR(1,1)-X, except Indonesia. Interestingly, gold could be a substitute commodity for stocks in Vietnam and the Philippines, while it could be a complement for stocks in Indonesia, Thailand and Malaysia.

Suggested Citation

  • Giam Quang Do & Michael Mcaleer & Songsak Sriboonchitta, 2009. "Effects of international gold market on stock exchange volatility: evidence from asean emerging stock markets," Economics Bulletin, AccessEcon, vol. 29(2), pages 599-610.
    • Handle: RePEc:ebl:ecbull:eb-09-00065
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    References listed on IDEAS

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    1. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    2. Bernard Goodman, 1956. "The Price Of Gold And International Liquidity," Journal of Finance, American Finance Association, vol. 11(1), pages 15-28, March.
    3. Ling, Shiqing & McAleer, Michael, 2002. "Stationarity and the existence of moments of a family of GARCH processes," Journal of Econometrics, Elsevier, vol. 106(1), pages 109-117, January.
    4. Tully, Edel & Lucey, Brian M., 2007. "A power GARCH examination of the gold market," Research in International Business and Finance, Elsevier, vol. 21(2), pages 316-325, June.
    5. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    6. Jeantheau, Thierry, 1998. "Strong Consistency Of Estimators For Multivariate Arch Models," Econometric Theory, Cambridge University Press, vol. 14(1), pages 70-86, February.
    7. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    9. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    10. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    11. Solt, Michael E & Swanson, Paul J, 1981. "On the Efficiency of the Markets for Gold and Silver," The Journal of Business, University of Chicago Press, vol. 54(3), pages 453-478, July.
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    4. Mohd Fahmi Ghazali & Hooi Hooi Lean & Zakaria Bahari, 2019. "Does Gold Investment Offer Protection Against Stock Market Losses? Evidence From Five Countries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(02), pages 275-301, August.
    5. Woraphon Yamaka & Paravee Maneejuk, 2020. "Analyzing the Causality and Dependence between Gold Shocks and Asian Emerging Stock Markets: A Smooth Transition Copula Approach," Mathematics, MDPI, vol. 8(1), pages 1-27, January.
    6. S. Maria Immanuvel & D. Lazar, 2023. "Does Information Spillover and Leverage Effect Exist in World Gold Markets?," Global Business Review, International Management Institute, vol. 24(3), pages 475-487, June.
    7. Drake, Pamela Peterson, 2022. "The gold-stock market relationship during COVID-19," Finance Research Letters, Elsevier, vol. 44(C).
    8. Nguyen, Cuong & Bhatti, M. Ishaq & Komorníková, Magda & Komorník, Jozef, 2016. "Gold price and stock markets nexus under mixed-copulas," Economic Modelling, Elsevier, vol. 58(C), pages 283-292.
    9. Triki, Mohamed Bilel & Ben Maatoug, Abderrazek, 2021. "The GOLD market as a safe haven against the stock market uncertainty: Evidence from geopolitical risk," Resources Policy, Elsevier, vol. 70(C).
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    11. Wo-Chiang Lee & Hui-Na Lin, 2012. "Threshold effects in the relationships between USD and gold futures by panel smooth transition approach," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1065-1070, July.
    12. Viorica Chirila & Ciprian Chirila, 2013. "International Gold Market, Stock Market and Business Cycles: the Central and Eastern European Countries," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 9(1), pages 36-52, February.
    13. Hatice Gaye Gencer & Zafer Musoglu, 2014. "Volatility Transmission and Spillovers among Gold, Bonds and Stocks: An Empirical Evidence from Turkey," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 705-713.
    14. He, Xiaojuan & Mishra, Shekhar & Aman, Ameenullah & Shahbaz, Muhammad & Razzaq, Asif & Sharif, Arshian, 2021. "The linkage between clean energy stocks and the fluctuations in oil price and financial stress in the US and Europe? Evidence from QARDL approach," Resources Policy, Elsevier, vol. 72(C).
    15. Muhammad Aftab & Syed Zulfiqar Ali Shah & Izlin Ismail, 2019. "Does Gold Act as a Hedge or a Safe Haven against Equity and Currency in Asia?," Global Business Review, International Management Institute, vol. 20(1), pages 105-118, February.
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    More about this item

    Keywords

    Volatility; GARCH-X; Gold effects; ASEAN emerging stock markets;
    All these keywords.

    JEL classification:

    • G0 - Financial Economics - - General

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