IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v444y2016icp601-612.html
   My bibliography  Save this article

Study on the contagion among American industries

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437115009176
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2015.10.058?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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. 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.
    7. 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.
    8. Andreia Dionisio & Rui Menezes & Diana A. Mendes, 2003. "Mutual information: a dependence measure for nonlinear time series," Econometrics 0311003, University Library of Munich, Germany.
    9. 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.
    10. 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.
    11. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. King, Mervyn & Sentana, Enrique & Wadhwani, Sushil, 1994. "Volatility and Links between National Stock Markets," Econometrica, Econometric Society, vol. 62(4), pages 901-933, July.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. T. Ane & L. Ureche-Rangau, 2006. "Stock market dynamics in a regime-switching asymmetric power GARCH model," Post-Print hal-00170841, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lim, Kyuseong & Kim, Sehyun & Kim, Soo Yong, 2017. "Information transfer across intra/inter-structure of CDS and stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 118-126.
    2. Ekström, Mathias, 2018. "Seasonal altruism: How Christmas shapes unsolicited charitable giving," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 177-193.
    3. Huynh, Toan Luu Duc & Foglia, Matteo & Doukas, John A., 2022. "COVID-19 and Tail-event Driven Network Risk in the Eurozone," Finance Research Letters, Elsevier, vol. 44(C).
    4. Dimpfl, Thomas & Peter, Franziska J., 2018. "Analyzing volatility transmission using group transfer entropy," Energy Economics, Elsevier, vol. 75(C), pages 368-376.
    5. Aktham Maghyereh & Hussein Abdoh, 2022. "Global financial crisis versus COVID‐19: Evidence from sentiment analysis," International Finance, Wiley Blackwell, vol. 25(2), pages 218-248, August.
    6. Zhang, Weiping & Zhuang, Xintian & Wang, Jian & Lu, Yang, 2020. "Connectedness and systemic risk spillovers analysis of Chinese sectors based on tail risk network," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    7. Wang, Ze & Gao, Xiangyun & An, Haizhong & Tang, Renwu & Sun, Qingru, 2020. "Identifying influential energy stocks based on spillover network," International Review of Financial Analysis, Elsevier, vol. 68(C).
    8. Hunt, Jennifer & Nunn, Ryan, 2022. "Has U.S. employment really polarized? A critical reappraisal," Labour Economics, Elsevier, vol. 75(C).
    9. Wyman-Pain, Heather & Bian, Yuankai & Thomas, Cain & Li, Furong, 2018. "The economics of different generation technologies for frequency response provision," Applied Energy, Elsevier, vol. 222(C), pages 554-563.
    10. Lu, Jingen & Chen, Xiaohong & Liu, Xiaoxing, 2018. "Stock market information flow: Explanations from market status and information-related behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 837-848.
    11. Kuznetsova, Elizaveta & Cardin, Michel-Alexandre & Diao, Mingzhen & Zhang, Sizhe, 2019. "Integrated decision-support methodology for combined centralized-decentralized waste-to-energy management systems design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 477-500.
    12. Audrino, Francesco & Tetereva, Anastasija, 2019. "Sentiment spillover effects for US and European companies," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 542-567.
    13. Maghyereh, Aktham & Abdoh, Hussein & Awartani, Basel, 2022. "Have returns and volatilities for financial assets responded to implied volatility during the COVID-19 pandemic?," Journal of Commodity Markets, Elsevier, vol. 26(C).
    14. Gottschalk, Sylvia, 2017. "Entropy measure of credit risk in highly correlated markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 11-19.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. van der Heijden, Hans, 2022. "Predicting industry sectors from financial statements: An illustration of machine learning in accounting research," The British Accounting Review, Elsevier, vol. 54(5).
    3. Lee, Charles M.C. & Ma, Paul & Wang, Charles C.Y., 2015. "Search-based peer firms: Aggregating investor perceptions through internet co-searches," Journal of Financial Economics, Elsevier, vol. 116(2), pages 410-431.
    4. Christian Weiner, 2005. "The Impact of Industry Classification Schemes on Financial Research," SFB 649 Discussion Papers SFB649DP2005-062, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    5. Yasser Alhenawi & Martha L. Stilwell, 2019. "Toward a complete definition of relatedness in merger and acquisition transactions," Review of Quantitative Finance and Accounting, Springer, vol. 53(2), pages 351-396, August.
    6. Zura Kakushadze & Willie Yu, 2017. "Open Source Fundamental Industry Classification," Papers 1706.04210, arXiv.org, revised Dec 2017.
    7. Zura Kakushadze & Willie Yu, 2017. "Open Source Fundamental Industry Classification," Data, MDPI, vol. 2(2), pages 1-77, June.
    8. Karel Hrazdil & Thomas Scott, 2013. "The role of industry classification in estimating discretionary accruals," Review of Quantitative Finance and Accounting, Springer, vol. 40(1), pages 15-39, January.
    9. Grimm Noh, 2019. "Strategic Decoupling in Korean Business Groups: Ambiguous Identity as a Strategy in Chaebol Groups," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    10. 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.
    11. Christensen, Jesper Lindgaard, 2013. "The ability of current statistical classifications to separate services and manufacturing," Structural Change and Economic Dynamics, Elsevier, vol. 26(C), pages 47-60.
    12. Ahmad, Wasim & Sehgal, Sanjay & Bhanumurthy, N.R., 2013. "Eurozone crisis and BRIICKS stock markets: Contagion or market interdependence?," Economic Modelling, Elsevier, vol. 33(C), pages 209-225.
    13. Dou, Winston Wei & Ji, Yan & Wu, Wei, 2021. "Competition, profitability, and discount rates," Journal of Financial Economics, Elsevier, vol. 140(2), pages 582-620.
    14. Rodolphe Durand & Robert M. Grant & Tammy L. Madsen & Gino Cattani & Joseph F. Porac & Howard Thomas, 2017. "Categories and competition," Strategic Management Journal, Wiley Blackwell, vol. 38(1), pages 64-92, January.
    15. Ana Escribano & Cristina Íñiguez, 2021. "The contagion phenomena of the Brexit process on main stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4462-4481, July.
    16. Chopra, Monika & Mehta, Chhavi, 2022. "Is the COVID-19 pandemic more contagious for the Asian stock markets? A comparison with the Asian financial, the US subprime and the Eurozone debt crisis," Journal of Asian Economics, Elsevier, vol. 79(C).
    17. Chou, Pin-Huang & Ho, Po-Hsin & Ko, Kuan-Cheng, 2012. "Do industries matter in explaining stock returns and asset-pricing anomalies?," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 355-370.
    18. Malik, Farooq & Ewing, Bradley T., 2009. "Volatility transmission between oil prices and equity sector returns," International Review of Financial Analysis, Elsevier, vol. 18(3), pages 95-100, June.
    19. Dungey, Mardi & Fry, Renee & Gonzalez-Hermosillo, Brenda & Martin, Vance, 2006. "Contagion in international bond markets during the Russian and the LTCM crises," Journal of Financial Stability, Elsevier, vol. 2(1), pages 1-27, April.
    20. Lisa Baudot & Zhongwei Huang & Dana Wallace, 2021. "Stakeholder Perceptions of Risk in Mandatory Corporate Responsibility Disclosure," Journal of Business Ethics, Springer, vol. 172(1), pages 151-174, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:444:y:2016:i:c:p:601-612. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.