Increasing market efficiency in the stock markets
AbstractWe study the temporal evolutions of three stock markets; Standard and Poor's 500 index, Nikkei 225 Stock Average, and the Korea Composite Stock Price Index. We observe that the probability density function of the log-return has a fat tail but the tail index has been increasing continuously in recent years. We have also found that the variance of the autocorrelation function, the scaling exponent of the standard deviation, and the statistical complexity decrease, but that the entropy density increases as time goes over time. We introduce a modified microscopic spin model and simulate the model to confirm such increasing and decreasing tendencies in statistical quantities. These findings indicate that these three stock markets are becoming more efficient. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2008
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Bibliographic InfoArticle provided by Springer in its journal The European Physical Journal B.
Volume (Year): 61 (2008)
Issue (Month): 2 (01)
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Web page: http://www.springer.com/economics/journal/10051
Other versions of this item:
- Jae-Suk Yang & Wooseop Kwak & Taisei Kaizoji & In-mook Kim, 2008. "Increasing market efficiency in the stock markets," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 61(3), pages 389-389, 02.
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- Kantar, Ersin & Keskin, Mustafa, 2013. "The relationships between electricity consumption and GDP in Asian countries, using hierarchical structure methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5678-5684.
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- Taisei Kaizoji, 2010. "Stock volatility in the periods of booms and stagnations," EERI Research Paper Series EERI_RP_2010_07, Economics and Econometrics Research Institute (EERI), Brussels.
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