Presentation 2002/3/8
Multifractal analysis of stock market price
Takaaki OHNISHI, Kazuyuki AIHAR,
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Abstract(in English) In this paper, The closing price of Japan's Nikkei Stock Average index is analyzed by multifractal. The multifractal spectrum was calculated using the time series of the closing price for the past T days. The correlation of the parameters of the multifractal spectra with the difference of the price between present and the L-day after is studied statistically. According to L and T, the strength of correlation changes and it turns out that strong correlation exists. This result has suggested that change of a market price is not strictly random and the efficient market hypothesis may not be appropriate. Multifractal analysis can be used to predict the increace or decrease of the price with high probability.
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Keyword(in English) multifractal / predictability / Nikkei stock average index / stock market price change / efficient market hypothesis
Paper # NLP2001-114
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Conference Information
Committee NLP
Conference Date 2002/3/8(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multifractal analysis of stock market price
Sub Title (in English)
Keyword(1) multifractal
Keyword(2) predictability
Keyword(3) Nikkei stock average index
Keyword(4) stock market price change
Keyword(5) efficient market hypothesis
1st Author's Name Takaaki OHNISHI
1st Author's Affiliation Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, the University of Tokyo()
2nd Author's Name Kazuyuki AIHAR
2nd Author's Affiliation Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, the University of Tokyo
Date 2002/3/8
Paper # NLP2001-114
Volume (vol) vol.101
Number (no) 723
Page pp.pp.-
#Pages 8
Date of Issue