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Spatial and temporal structures of four financial markets in Greater China

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  • F. Y. Ouyang
  • B. Zheng
  • X. F. Jiang

Abstract

We investigate the spatial and temporal structures of four financial markets in Greater China. In particular, we uncover different characteristics of the four markets by analyzing the sector and subsector structures which are detected through the random matrix theory. Meanwhile, we observe that the Taiwan and Hongkong stock markets show a negative return-volatility correlation, i.e., the so-called leverage effect. The Shanghai and Shenzhen stock markets are more complicated. Before the year 2000, the two markets exhibit a strong positive return-volatility correlation, which is called the anti-leverage effect. After 2000, however, it gradually changes to the leverage effect. We also find that the recurrence interval distributions of both the trading volume volatilities and price volatilities follow a power law behavior, while the exponents vary among different markets.

Suggested Citation

  • F. Y. Ouyang & B. Zheng & X. F. Jiang, 2014. "Spatial and temporal structures of four financial markets in Greater China," Papers 1402.1046, arXiv.org.
    • Handle: RePEc:arx:papers:1402.1046
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    1. Yang, Liu & Lam, Joseph C. & Tsang, C.L., 2008. "Energy performance of building envelopes in different climate zones in China," Applied Energy, Elsevier, vol. 85(9), pages 800-817, September.
    2. Ren, Fei & Guo, Liang & Zhou, Wei-Xing, 2009. "Statistical properties of volatility return intervals of Chinese stocks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(6), pages 881-890.
    3. X. F. Jiang & B. Zheng, 2012. "Anti-correlation and subsector structure in financial systems," Papers 1201.6418, arXiv.org.
    4. Irene Giardina & Jean-Philippe Bouchaud & Marc M'ezard, 2001. "Microscopic Models for Long Ranged Volatility Correlations," Papers cond-mat/0105076, arXiv.org.
    5. G. Oh & C. Eom & F. Wang & W.-S. Jung & H. E. Stanley & S. Kim, 2011. "Statistical properties of cross-correlation in the Korean stock market," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 79(1), pages 55-60, January.
    6. Tian Qiu & Liang Guo & Guang Chen, 2008. "Scaling and Memory Effect in Volatility Return Interval of the Chinese Stock Market," Papers 0805.2194, arXiv.org.
    7. Podobnik, Boris & Fu, Dongfeng & Jagric, Timotej & Grosse, Ivo & Eugene Stanley, H., 2006. "Fractionally integrated process for transition economics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 362(2), pages 465-470.
    8. X. F. Jiang & T. T. Chen & B. Zheng, 2013. "Time-reversal asymmetry in financial systems," Papers 1308.0669, arXiv.org.
    9. Wei Li & Fengzhong Wang & Shlomo Havlin & H. Eugene Stanley, 2011. "Financial factor influence on scaling and memory of trading volume in stock market," Papers 1106.1415, arXiv.org.
    10. Parameswaran Gopikrishnan & Vasiliki Plerou & Luis A. Nunes Amaral & Martin Meyer & H. Eugene Stanley, 1999. "Scaling of the distribution of fluctuations of financial market indices," Papers cond-mat/9905305, arXiv.org.
    11. A. Garas & P. Argyrakis & S. Havlin, 2008. "The structural role of weak and strong links in a financial market network," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 63(2), pages 265-271, May.
    12. Irene Giardina & Jean-Philippe Bouchaud & Marc Mezard, 2001. "Microscopic models for long ranged volatility correlations," Science & Finance (CFM) working paper archive 500024, Science & Finance, Capital Fund Management.
    13. Antonios Garas & Panos Argyrakis & Shlomo Havlin, 2008. "The structural role of weak and strong links in a financial market network," Papers 0805.2477, arXiv.org.
    14. K.W. Chau & Bryan D. MacGregor & Gregory M. Schwann, 2001. "Price discovery in the Hong Kong real estate market," Journal of Property Research, Taylor & Francis Journals, vol. 18(3), pages 187-216.
    15. Giardina, Irene & Bouchaud, Jean-Philippe & Mézard, Marc, 2001. "Microscopic models for long ranged volatility correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 299(1), pages 28-39.
    16. Worrell, Ernst & Price, Lynn & Martin, Nathan & Farla, Jacco & Schaeffer, Roberto, 1997. "Energy intensity in the iron and steel industry: a comparison of physical and economic indicators," Energy Policy, Elsevier, vol. 25(7-9), pages 727-744.
    17. Qiu, T. & Zheng, B. & Ren, F. & Trimper, S., 2007. "Statistical properties of German Dax and Chinese indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(2), pages 387-398.
    18. Ren, Fei & Gu, Gao-Feng & Zhou, Wei-Xing, 2009. "Scaling and memory in the return intervals of realized volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(22), pages 4787-4796.
    19. V. Plerou & P. Gopikrishnan & L. A. N. Amaral & M. Meyer & H. E. Stanley, 1999. "Scaling of the distribution of price fluctuations of individual companies," Papers cond-mat/9907161, arXiv.org.
    20. Vasiliki Plerou & Parameswaran Gopikrishnan & Bernd Rosenow & Luis A. Nunes Amaral & H. Eugene Stanley, 1999. "Universal and non-universal properties of cross-correlations in financial time series," Papers cond-mat/9902283, arXiv.org.
    21. Baptista, M.S & Caldas, I.L, 2002. "Stock market dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(3), pages 539-564.
    22. Qiu, T. & Guo, L. & Chen, G., 2008. "Scaling and memory effect in volatility return interval of the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(27), pages 6812-6818.
    23. Cox, John C. & Ross, Stephen A., 1976. "The valuation of options for alternative stochastic processes," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 145-166.
    24. Raj Kumar Pan & Sitabhra Sinha, 2007. "Collective behavior of stock price movements in an emerging market," Papers 0704.0773, arXiv.org, revised Nov 2007.
    25. Feenstra, Robert C. & Yang, Tzu-Han & Hamilton, Gary G., 1999. "Business groups and product variety in trade: evidence from South Korea, Taiwan and Japan," Journal of International Economics, Elsevier, vol. 48(1), pages 71-100, June.
    26. Bouchaud,Jean-Philippe & Potters,Marc, 2003. "Theory of Financial Risk and Derivative Pricing," Cambridge Books, Cambridge University Press, number 9780521819169, October.
    27. Fei Ren & Wei-Xing Zhou, 2008. "Multiscaling behavior in the volatility return intervals of Chinese indices," Papers 0809.0250, arXiv.org.
    28. Raj Kumar Pan & Sitabhra Sinha, 2006. "Self-organization of price fluctuation distribution in evolving markets," Papers physics/0606213, arXiv.org, revised May 2007.
    29. Roy, Abhik & Walters, Peter G. P. & Luk, Sherriff T. K., 2001. "Chinese puzzles and paradoxes: conducting business research in China," Journal of Business Research, Elsevier, vol. 52(2), pages 203-210, May.
    30. Jiang, X.F. & Chen, T.T. & Zheng, B., 2013. "Time-reversal asymmetry in financial systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(21), pages 5369-5375.
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    4. Guoli Mo & Chunzhi Tan & Weiguo Zhang & Xuezeng Yu, 2023. "Dynamic spatiotemporal correlation coefficient based on adaptive weight," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-43, December.
    5. Mo, Guoli & Tan, Chunzhi & Zhang, Weiguo & Liu, Fang, 2019. "International portfolio of stock indices with spatiotemporal correlations: Can investors still benefit from portfolio, when and where?," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 168-183.

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