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Study on the contagion among American industries

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  • Chunxia, Yang
  • Xueshuai, Zhu
  • Luoluo, Jiang
  • Sen, Hu
  • He, Li

Abstract

Using a sliding window to scan through every industry index from 2 Jan 2003 to 26 Dec 2013 and transfer entropy to investigate information flow among sectors, we figure out corresponding industry’s transfer entropy matrix in every given window. Next, a further analysis of information flow’s variations between industries is carried out. Finally, we also use daily trading volumes of each group to carefully analyze trading volume correlation between sectors. The obtained facts are as follows. First, as crisis intensified, the amount of information flow between industries continues to grow and finally reaches a peak over full-outbreak periods. Second, Financial sector always has large output transfer entropy, and before January 2007, the main information flow is from Financial sector to Non-Daily consumption, Energy, Raw material and Industrial sectors while around 12 April 2007, it has changed from Energy, Raw material and Industrial groups to Telecom, Daily consumption, Public utilities and Health care industries. Thus, Financial industry is the arch-criminal and it seriously affects Non-Daily consumption, Energy, Raw material and Industrial groups. Later, Telecom, Daily consumption, Health care and Public utilities industries are all plunged into the crisis, and financial crisis sweeps all the industries eventually. Besides, we also find that trading volume correlation is the fundamental reason of crisis propagation.

Suggested Citation

  • Chunxia, Yang & Xueshuai, Zhu & Luoluo, Jiang & Sen, Hu & He, Li, 2016. "Study on the contagion among American industries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 601-612.
    • Handle: RePEc:eee:phsmap:v:444:y:2016:i:c:p:601-612
    DOI: 10.1016/j.physa.2015.10.058
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    as
    1. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    2. Kahle, Kathleen M. & Walkling, Ralph A., 1996. "The Impact of Industry Classifications on Financial Research," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(3), pages 309-335, September.
    3. Kathleen M. Kahle & Ralph A. Walkling, "undated". "The Impact of Industry Classifications on Financial Research," Research in Financial Economics 9607, Ohio State University.
    4. Taimur Baig & Ilan Goldfajn, 1999. "Financial Market Contagion in the Asian Crisis," IMF Staff Papers, Palgrave Macmillan, vol. 46(2), pages 1-3.
    5. Gjika, Dritan & Horváth, Roman, 2013. "Stock market comovements in Central Europe: Evidence from the asymmetric DCC model," Economic Modelling, Elsevier, vol. 33(C), pages 55-64.
    6. Guenther, David A. & Rosman, Andrew J., 1994. "Differences between COMPUSTAT and CRSP SIC codes and related effects on research," Journal of Accounting and Economics, Elsevier, vol. 18(1), pages 115-128, July.
    7. Clarke, Richard N, 1989. "SICs as Delineators of Economic Markets," The Journal of Business, University of Chicago Press, vol. 62(1), pages 17-31, January.
    8. Dionisio, Andreia & Menezes, Rui & Mendes, Diana A., 2004. "Mutual information: a measure of dependency for nonlinear time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 326-329.
    9. Syllignakis, Manolis N. & Kouretas, Georgios P., 2011. "Dynamic correlation analysis of financial contagion: Evidence from the Central and Eastern European markets," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 717-732, October.
    10. Andreia Dionisio & Rui Menezes & Diana A. Mendes, 2003. "Mutual information: a dependence measure for nonlinear time series," Econometrics 0311003, University Library of Munich, Germany.
    11. Uechi, Lisa & Akutsu, Tatsuya & Stanley, H. Eugene & Marcus, Alan J. & Kenett, Dror Y., 2015. "Sector dominance ratio analysis of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 488-509.
    12. Brickley, James A. & Zimmerman, Jerold L., 2010. "Corporate governance myths: Comments on Armstrong, Guay, and Weber," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 235-245, December.
    13. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    14. Yang, Chunxia & Zhu, Xueshuai & Li, Qian & Chen, Yanhua & Deng, Qiangqiang, 2014. "Research on the evolution of stock correlation based on maximal spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 1-18.
    15. Fan, Joseph P H & Lang, Larry H P, 2000. "The Measurement of Relatedness: An Application to Corporate Diversification," The Journal of Business, University of Chicago Press, vol. 73(4), pages 629-660, October.
    16. Longstaff, Francis A., 2010. "The subprime credit crisis and contagion in financial markets," Journal of Financial Economics, Elsevier, vol. 97(3), pages 436-450, September.
    17. Sanjeev Bhojraj & Charles M. C. Lee & Derek K. Oler, 2003. "What's My Line? A Comparison of Industry Classification Schemes for Capital Market Research," Journal of Accounting Research, Wiley Blackwell, vol. 41(5), pages 745-774, December.
    18. Kate Phylaktis & Lichuan Xia, 2009. "Equity Market Comovement and Contagion: A Sectoral Perspective," Financial Management, Financial Management Association International, vol. 38(2), pages 381-409, June.
    19. Ane, Thierry & Ureche-Rangau, Loredana, 2006. "Stock market dynamics in a regime-switching asymmetric power GARCH model," International Review of Financial Analysis, Elsevier, vol. 15(2), pages 109-129.
    20. Jayanthi Krishnan & Eric Press, 2003. "The North American Industry Classification System and Its Implications for Accounting Research," Contemporary Accounting Research, John Wiley & Sons, vol. 20(4), pages 685-717, December.
    21. Hassan, Syed Aun & Malik, Farooq, 2007. "Multivariate GARCH modeling of sector volatility transmission," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(3), pages 470-480, July.
    22. Dornbusch, Rudiger & Park, Yung Chul & Claessens, Stijn, 2000. "Contagion: Understanding How It Spreads," The World Bank Research Observer, World Bank, vol. 15(2), pages 177-197, August.
    23. King, Mervyn & Sentana, Enrique & Wadhwani, Sushil, 1994. "Volatility and Links between National Stock Markets," Econometrica, Econometric Society, vol. 62(4), pages 901-933, July.
    24. Van Rijckeghem, Caroline & Weder, Beatrice, 2001. "Sources of contagion: is it finance or trade?," Journal of International Economics, Elsevier, vol. 54(2), pages 293-308, August.
    25. Zhang, Xin & Podobnik, Boris & Kenett, Dror Y. & Eugene Stanley, H., 2014. "Systemic risk and causality dynamics of the world international shipping market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 43-53.
    26. Karolyi, G Andrew, 1995. "A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 11-25, January.
    27. T. Ane & L. Ureche-Rangau, 2006. "Stock market dynamics in a regime-switching asymmetric power GARCH model," Post-Print hal-00170841, HAL.
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