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Network Evolution of the Chinese Stock Market: A Study based on the CSI 300 Index

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  • Bing Li

Abstract

As an emerging market, Chinese stock market is playing an increasingly important role in global financial system. This market deserves more detailed studies for its potential to develop with the progress of Chinese financial reform. By analyzing topological properties and their temporal changes, this paper provides a new perspective of network evolution for Chinese stock market with the emphasis on interdependencies among stocks. The sample of this study is the selected constituent stocks of CSI 300 index. We empirically analyze correlation matrices and correlation-based networks by employing rolling window approach. In the study, the small world property of the network and positive correlations between stocks are found and some key stocks even play important roles to exert more influences on the others. Further study demonstrates the close relationship between network structure and market fluctuation.JEL classification numbers: C13, C53, G11, G17Keywords: Correlation matrix, Network analysis, Influence strength, Centrality, CSI 300 index

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  • Bing Li, 2017. "Network Evolution of the Chinese Stock Market: A Study based on the CSI 300 Index," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(3), pages 1-5.
    • Handle: RePEc:spt:apfiba:v:7:y:2017:i:3:f:7_3_5
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    1. G. Bonanno & F. Lillo & R. N. Mantegna, 2001. "High-frequency cross-correlation in a set of stocks," Quantitative Finance, Taylor & Francis Journals, vol. 1(1), pages 96-104.
    2. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    3. M. Tumminello & T. Di Matteo & T. Aste & R. N. Mantegna, 2007. "Correlation based networks of equity returns sampled at different time horizons," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 55(2), pages 209-217, January.
    4. Huang, Wei-Qiang & Zhuang, Xin-Tian & Yao, Shuang, 2009. "A network analysis of the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(14), pages 2956-2964.
    5. Tse, Chi K. & Liu, Jing & Lau, Francis C.M., 2010. "A network perspective of the stock market," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 659-667, September.
    6. Sunil Kumar & Nivedita Deo, 2012. "Correlation, Network and Multifractal Analysis of Global Financial Indices," Papers 1202.0409, arXiv.org.
    7. G. Bonanno & G. Caldarelli & F. Lillo & S. Micciché & N. Vandewalle & R. Mantegna, 2004. "Networks of equities in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 38(2), pages 363-371, March.
    8. Raj Kumar Pan & Sitabhra Sinha, 2007. "Collective behavior of stock price movements in an emerging market," Papers 0704.0773, arXiv.org, revised Nov 2007.
    9. Juan Brida & Wiston Risso, 2010. "Dynamics and Structure of the 30 Largest North American Companies," Computational Economics, Springer;Society for Computational Economics, vol. 35(1), pages 85-99, January.
    10. Bury, Thomas, 2013. "Market structure explained by pairwise interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1375-1385.
    11. Kantar, Ersin & Keskin, Mustafa & Deviren, Bayram, 2012. "Analysis of the effects of the global financial crisis on the Turkish economy, using hierarchical methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(7), pages 2342-2352.
    12. Boginski, Vladimir & Butenko, Sergiy & Pardalos, Panos M., 2005. "Statistical analysis of financial networks," Computational Statistics & Data Analysis, Elsevier, vol. 48(2), pages 431-443, February.
    13. Michael Boss & Helmut Elsinger & Martin Summer & Stefan Thurner, 2004. "Network topology of the interbank market," Quantitative Finance, Taylor & Francis Journals, vol. 4(6), pages 677-684.
    14. Iori, Giulia & De Masi, Giulia & Precup, Ovidiu Vasile & Gabbi, Giampaolo & Caldarelli, Guido, 2008. "A network analysis of the Italian overnight money market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 259-278, January.
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    More about this item

    Keywords

    correlation matrix; network analysis; influence strength; centrality; csi 300 index;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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