Research on the fractal structure in the Chinese stock market

Xin-tian Zhuang, Xiao-yuan Huang and Yan-li Sha

Physica A: Statistical Mechanics and its Applications, 2004, vol. 333, issue C, 293-305

Abstract: Applying fractal theory, this paper probes and discusses self-similarity and scale invariance of the Chinese stock market. It analyses three kinds of scale indexes, i.e., autocorrelation index, Hurst index and the scale index on the basis of detrended fluctuation analysis (DFA) algorithm and promotes DFA into a recursive algorithm. Using the three kinds of scale indexes, we conduct empirical research on the Chinese Shanghai and Shenzhen stock markets. The results indicate that the rate of returns of the two stock markets does not obey the normal distribution. A correlation exists between the stock price indexes over time scales. The stock price indexes exhibit fractal time series. It indicates that the policy guide hidden at the back influences the characteristic of the Chinese stock market.

Keywords: Stock market; Complexity; Fractal; Self-similarity; Scaling; Scale index; DFA (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:333:y:2004:i:c:p:293-305

DOI: 10.1016/j.physa.2003.10.061

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