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Implied Volatility Transmissions Between Thai and Selected Advanced Stock Markets

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  • Supachok Thakolsri
  • Yuthana Sethapramote
  • Komain Jiranyakul

Abstract

This article investigates the impacts of changes in the U.S.-implied volatility on the changes in implied volatilities of the Euro and Thai stock markets. For that purpose, volatilities implicit in stock index option prices from the United States, Euro, and Thai stock markets are analyzed using the Standard Granger Causality Test, impulse response analysis, and variance decompositions. The results found in this study suggest that the U.S. stock market is the leading source of volatility transmissions since the changes in implied volatility in the U.S. stock market are transmitted to the Euro and Thai stock markets. Implied volatility indexes are used because they contain information about future realized volatility beyond that contained past volatility. Therefore, implied volatility indexes can be used as an underlying asset in a derivative market. The risk factors that can gauge the expectations of institutional investors are important to the key players in international stock markets. Given the dominance of institutional traders in the international derivative markets, the implied volatilities should reflect international traders’ sentiment. The findings in the present article give recent knowledge for portfolio managers because they need to know the degree of dependency across stock markets so that they can diversify more efficiently.

Suggested Citation

  • Supachok Thakolsri & Yuthana Sethapramote & Komain Jiranyakul, 2016. "Implied Volatility Transmissions Between Thai and Selected Advanced Stock Markets," SAGE Open, , vol. 6(3), pages 21582440166, July.
  • Handle: RePEc:sae:sagope:v:6:y:2016:i:3:p:2158244016659318
    DOI: 10.1177/2158244016659318
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    References listed on IDEAS

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    1. Kenourgios, Dimitris, 2014. "On financial contagion and implied market volatility," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 21-30.
    2. Jeff Fleming & Barbara Ostdiek & Robert E. Whaley, 1995. "Predicting stock market volatility: A new measure," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(3), pages 265-302, May.
    3. Y. Angela Liu & Ming-Shiun Pan, 1997. "Mean and Volatility Spillover Effects in the U.S. and Pacific–Basin Stock Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 1(1), pages 47-62, March.
    4. Ser-Huang Poon & Clive W.J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
    5. Nikkinen, Jussi & Sahlstrom, Petri, 2004. "International transmission of uncertainty implicit in stock index option prices," Global Finance Journal, Elsevier, vol. 15(1), pages 1-15.
    6. Siriopoulos, Costas & Fassas, Athanasios, 2012. "An investor sentiment barometer — Greek Implied Volatility Index (GRIV)," Global Finance Journal, Elsevier, vol. 23(2), pages 77-93.
    7. Ihsan Ullah Badshah, 2013. "Quantile Regression Analysis of the Asymmetric Return‐Volatility Relation," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(3), pages 235-265, March.
    8. Costas Siriopoulos & Athanasios Fassas, 2013. "Dynamic relations of uncertainty expectations: a conditional assessment of implied volatility indices," Review of Derivatives Research, Springer, vol. 16(3), pages 233-266, October.
    9. Chiang, Thomas C. & Jeon, Bang Nam & Li, Huimin, 2007. "Dynamic correlation analysis of financial contagion: Evidence from Asian markets," Journal of International Money and Finance, Elsevier, vol. 26(7), pages 1206-1228, November.
    10. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    11. Yue Peng & Wing Ng, 2012. "Analysing financial contagion and asymmetric market dependence with volatility indices via copulas," Annals of Finance, Springer, vol. 8(1), pages 49-74, February.
    12. Hee‐Joon Ahn & Jangkoo Kang & Doojin Ryu, 2008. "Informed trading in the index option market: The case of KOSPI 200 options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(12), pages 1118-1146, December.
    13. Blair, Bevan J. & Poon, Ser-Huang & Taylor, Stephen J., 2001. "Forecasting S&P 100 volatility: the incremental information content of implied volatilities and high-frequency index returns," Journal of Econometrics, Elsevier, vol. 105(1), pages 5-26, November.
    14. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    15. Christensen, B. J. & Prabhala, N. R., 1998. "The relation between implied and realized volatility," Journal of Financial Economics, Elsevier, vol. 50(2), pages 125-150, November.
    16. Bollerslev, Tim & Zhou, Hao, 2006. "Volatility puzzles: a simple framework for gauging return-volatility regressions," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 123-150.
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    Cited by:

    1. Supachok Thakolsri & Yuthana Sethapramote & Komain Jiranyakul, 2016. "Relationship of the Change in Implied Volatility with the Underlying Equity Index Return in Thailand," Economic Research Guardian, Weissberg Publishing, vol. 6(2), pages 74-86, December.
    2. Fassas, Athanasios P. & Siriopoulos, Costas, 2021. "Implied volatility indices – A review," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 303-329.

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    More about this item

    Keywords

    stock index option prices; implied volatility; causality; impulse response functions; variance decompositions;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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