Statistical properties of volatility in fractal dimension and probability distribution among six stock markets - USA, Japan, Taiwan, South Korea, Singapore, and Hong Kong
AbstractThis 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 InfoPaper provided by EconWPA in its series Econometrics with number 0308002.
Length: 34 pages
Date of creation: 12 Aug 2003
Date of revision: 18 Aug 2003
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Volatility; fractal dimension; probability distribution.;
Find related papers by JEL classification:
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
This paper has been announced in the following NEP Reports:
- NEP-ALL-2003-08-17 (All new papers)
- NEP-CFN-2003-08-17 (Corporate Finance)
- NEP-CMP-2003-08-17 (Computational Economics)
- NEP-ETS-2003-08-17 (Econometric Time Series)
- NEP-FMK-2003-08-17 (Financial Markets)
- NEP-RMG-2003-08-17 (Risk Management)
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