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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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Author Info

  • 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.

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Bibliographic Info

Paper provided by EconWPA in its series Econometrics with number 0308002.

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Length: 34 pages
Date of creation: 12 Aug 2003
Date of revision: 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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Related research

Keywords: Volatility; fractal dimension; probability distribution.;

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  1. Schwert, G.W., 1989. "Stock Volatility And The Crash Of '87," Papers 89-01, Rochester, Business - General.
  2. Franklin Allen & Douglas Gale, 2000. "Financial Contagion," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 1-33, February.
  3. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
  4. 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.
  5. 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.
  6. 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.
  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.
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