Theoretical analyses of stock correlations affected by subprime crisis and total assets: Network properties and corresponding physical mechanisms

doi:10.1088/1674-1056/ab3f22

Abstract In the field of statistical mechanics and system science, it is acknowledged that the financial crisis has a profound influence on stock market. However, the influence of total asset of enterprise on stock quote was not considered in the previous studies. In this work, a modified cross-correlation matrix that focuses on the influence of total asset on stock quote is introduced into the analysis of the stocks collected from Asian and American stock markets, which is different from the previous studies. The key results are obtained as follows. Firstly, stock is more greatly correlated with big asset than with small asset. Secondly, the higher the correlation coefficient among stocks, the larger the eigenvector is. Thirdly, in different periods, like the pre-subprime crisis period and the peak of subprime crisis period, Asian stock quotes show that the component of the third eigenvector of the cross-correlation matrix decreases with the asset of the enterprise decreasing. Fourthly, by simulating the threshold network, the small network constructed by 10 stocks with large assets can show the large network state constructed by 30 stocks. In this research we intend to fully explain the physical mechanism for understanding the historical correlation between stocks and provide risk control strategies in the future.

Keywords: complex networks total assets subprime crisis stock correlations

Received: 04 April 2019
Revised: 15 July 2019
Accepted manuscript online:

PACS:	89.65.Gh	(Economics; econophysics, financial markets, business and management)
	89.75.-k	(Complex systems)

Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11705042 and 71874172), the China Postdoctoral Science Foundation (Grant Nos. 2018T110040 and 2016M590041), the Fundamental Research Funds for Central Universities, China (Grant No. JZ2018HGTB0238), Curriculum Planning and Design Research Project, China (Grant No. 102-033119), and the Teaching Quality and Teaching Reform Project, China (Grant No. JYQZ1815).

Corresponding Authors: Yu-Qing Wang, Bing-Hong Wang
E-mail: yuqingw@hfut.edu.cn;bhwang@ustc.edu.cn

Cite this article:

Shi-Zhao Zhu(朱世钊), Yu-Qing Wang(王玉青), Bing-Hong Wang(汪秉宏) Theoretical analyses of stock correlations affected by subprime crisis and total assets: Network properties and corresponding physical mechanisms 2019 Chin. Phys. B 28 108901

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Theoretical analyses of stock correlations affected by subprime crisis and total assets: Network properties and corresponding physical mechanisms

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