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Statistical properties of volatility in fractal dimension and probability distribution among six stock markets - USA, Japan, Taiwan, South Korea, Singapore, and Hong Kong

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  • Hai-Chin YU

    (Chung Yuan University, Taiwan)

  • Ming-Chang Huang

    (Chung Yuan University, Taiwan)

Abstract

This study examines the statistical properties of volatility. Fractal dimension, probability distribution and two-point volatility correlation are used to measure and compare volatility among six different markets for the 12-year period from Jan. 1 1990 to Dec. 31 2001. New York market is found to be the strongest among the six in terms of market efficiency. Moreover, the Tokyo and Singapore markets are found to be very similar in fractal dimension and probability distribution, but different in their resistance to volatility : Tokyo has a higher ability to dissipate volatility. This phenomenon implies that the Tokyo market is more efficient than the Singapore market. The Hong Kong market is similar to the Singapore market in its ability to dissipate volatility. Meanwhile, the Taiwanese and Korean markets are the two most volatile markets among the six. Notably, the Taiwanese market is weaker than the Korean market in dissipating volatility.

Suggested Citation

  • Hai-Chin YU & Ming-Chang Huang, 2003. "Statistical properties of volatility in fractal dimension and probability distribution among six stock markets - USA, Japan, Taiwan, South Korea, Singapore, and Hong Kong," Econometrics 0308002, University Library of Munich, Germany, revised 18 Aug 2003.
    • Handle: RePEc:wpa:wuwpem:0308002
    Note: Type of Document - Tex; prepared on IBM PC ; to print on HP/PostScript/Franciscan monk; pages: 34; figures: included/request from author/draw your own. We never published this piece and now we would like to reduce our mailing and xerox cost by posting it.
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    References listed on IDEAS

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    1. Franklin Allen & Douglas Gale, 2000. "Financial Contagion," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 1-33, February.
    2. Mantegna,Rosario N. & Stanley,H. Eugene, 2007. "Introduction to Econophysics," Cambridge Books, Cambridge University Press, number 9780521039871, December.
    3. Chang, Rosita P. & Ghon Rhee, S. & Soedigno, Susatio, 1995. "Price volatility of Indonesian stocks," Pacific-Basin Finance Journal, Elsevier, vol. 3(2-3), pages 337-355, July.
    4. Schwert, G William, 1990. "Stock Volatility and the Crash of '87," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 77-102.
    5. Arshanapalli, Bala & Doukas, John & Lang, Larry H. P., 1997. "Common volatility in the industrial structure of global capital markets," Journal of International Money and Finance, Elsevier, vol. 16(2), pages 189-209, April.
    6. Parameswaran Gopikrishnan & Vasiliki Plerou & Xavier Gabaix & H. Eugene Stanley, 2000. "Statistical Properties of Share Volume Traded in Financial Markets," Papers cond-mat/0008113, arXiv.org.
    7. Chan, Yue-cheong & John Wei, K. C., 1996. "Political risk and stock price volatility: The case of Hong Kong," Pacific-Basin Finance Journal, Elsevier, vol. 4(2-3), pages 259-275, July.
    8. Kristin Forbes & Roberto Rigobon, 1999. "No Contagion, Only Interdependence: Measuring Stock Market Co-movements," NBER Working Papers 7267, National Bureau of Economic Research, Inc.
    9. Titman, Sheridan & John Wei, K. C., 1999. "Understanding stock market volatility: The case of Korea and Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 7(1), pages 41-66, February.
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    More about this item

    Keywords

    Volatility; fractal dimension; probability distribution.;
    All these keywords.

    JEL classification:

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

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