Group dynamics of the Japanese market

We investigated the network structures of the Japanese stock market using the minimum spanning tree. We defined a grouping coefficient to test the validity of the conventional grouping by industrial categories, and found a decreasing in trend for the coefficient. This phenomenon supports the increasing external influences on the market due to globalization. To reduce this influence, we used S&P500 index as the international market and removed its correlation with every stock. We found stronger a grouping in this measurement when compared to the original analysis, which agrees with our assumption that the international market influences to the Japanese market.

[1]  Woo-Sung Jung,et al.  Characteristics of the Korean stock market correlations , 2006 .

[2]  R. Mantegna Hierarchical structure in financial markets , 1998, cond-mat/9802256.

[3]  H. Eugene Stanley,et al.  Scale-Dependent Price Fluctuations for the Indian Stock Market , 2004 .

[4]  R. Coelho,et al.  Sector analysis for a FTSE portfolio of stocks , 2007 .

[5]  Takayuki Mizuno,et al.  Correlation networks among currencies , 2006 .

[6]  K. Kaski,et al.  Clustering and information in correlation based financial networks , 2003, cond-mat/0312682.

[7]  Fabrizio Lillo,et al.  Sector identification in a set of stock return time series traded at the London Stock Exchange , 2005 .

[8]  J. Rosser Book review: The economy as an evolving complex system II, edited by W. Brian Arthur, Steven N. Durlauf, and David A. Lane , 1999 .

[9]  Power–law properties of Chinese stock market , 2005 .

[10]  Gabjin Oh,et al.  Market efficiency in foreign exchange markets , 2007 .

[11]  Taisei Kaizoji Speculative bubbles and crashes in stock markets: an interacting-agent model of speculative activity , 2000 .

[12]  K. Kaski,et al.  Dynamics of market correlations: taxonomy and portfolio analysis. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  János Kertész,et al.  Increasing market efficiency: Evolution of cross-correlations of stock returns , 2006 .

[14]  V. Meneu,et al.  Has 1997 Asian Crisis Increased Information Flows Between International Markets , 2003 .

[15]  W. Arthur,et al.  The Economy as an Evolving Complex System II , 1988 .

[16]  A. Ishikawa Pareto index induced from the scale of companies , 2005, physics/0506066.

[17]  Marcel Ausloos,et al.  Has the world economy reached its globalization limit , 2009, 0910.3695.

[18]  Fabrizio Lillo,et al.  Degree stability of a minimum spanning tree of price return and volatility , 2003 .

[19]  Scaling Law for the Distribution of Fluctuations in Share Volume , 2003, cond-mat/0302468.

[20]  Cheol S. Eun,et al.  International Transmission of Stock Market Movements , 1989, Journal of Financial and Quantitative Analysis.

[21]  Benjamin Miranda Tabak,et al.  The expectation hypothesis of interest rates and network theory: The case of Brazil , 2009 .

[22]  Inflation and deflation in financial markets , 2004, cond-mat/0401140.

[23]  Rosario N. Mantegna,et al.  Book Review: An Introduction to Econophysics, Correlations, and Complexity in Finance, N. Rosario, H. Mantegna, and H. E. Stanley, Cambridge University Press, Cambridge, 2000. , 2000 .

[24]  F. Lillo,et al.  Topology of correlation-based minimal spanning trees in real and model markets. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[25]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.