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Dynamics and Structure of the 30 Largest North American Companies

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  • Juan Brida

    ()

  • Wiston Risso

    ()

Abstract

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Suggested Citation

  • 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.
  • Handle: RePEc:kap:compec:v:35:y:2010:i:1:p:85-99
    DOI: 10.1007/s10614-009-9187-1
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    References listed on IDEAS

    as
    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. Halinen, Aino & Tornroos, Jan-Ake, 2005. "Using case methods in the study of contemporary business networks," Journal of Business Research, Elsevier, vol. 58(9), pages 1285-1297, September.
    4. Brida, Juan G. & Punzo, Lionello F., 2003. "Symbolic time series analysis and dynamic regimes," Structural Change and Economic Dynamics, Elsevier, vol. 14(2), pages 159-183, June.
    5. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    6. Gafiychuk, V.V & Datsko, B.Yo & Izmaylova, J, 2004. "Analysis of data clusters obtained by self-organizing methods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 341(C), pages 547-555.
    7. V. V. Gafiychuk & B. Yo. Datsko & J. Izmaylova, 2004. "Analysis of Data Clusters Obtained by Self-Organizing Methods," Papers nlin/0402012, arXiv.org, revised Apr 2004.
    8. 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.
    9. Souma, Wataru & Aoyama, Hideaki & Fujiwara, Yoshi & Ikeda, Yuichi & Iyetomi, Hiroshi & Kaizoji, Taisei, 2006. "Correlation in business networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 151-155.
    10. Hakansson, Hakan & Ford, David, 2002. "How should companies interact in business networks?," Journal of Business Research, Elsevier, vol. 55(2), pages 133-139, February.
    11. Halinen, Aino & Törnroos, Jan-Åke, 1998. "The role of embeddedness in the evolution of business networks," Scandinavian Journal of Management, Elsevier, vol. 14(3), pages 187-205, March.
    12. Mizuno, Takayuki & Takayasu, Hideki & Takayasu, Misako, 2006. "Correlation networks among currencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 364(C), pages 336-342.
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    Citations

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    Cited by:

    1. Radhakrishnan, Srinivasan & Duvvuru, Arjun & Sultornsanee, Sivarit & Kamarthi, Sagar, 2016. "Phase synchronization based minimum spanning trees for analysis of financial time series with nonlinear correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 259-270.
    2. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised May 2018.
    3. Wang, Gang-Jin & Xie, Chi, 2015. "Correlation structure and dynamics of international real estate securities markets: A network perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 176-193.
    4. Cheong, Siew Ann & Fornia, Robert Paulo & Lee, Gladys Hui Ting & Kok, Jun Liang & Yim, Woei Shyr & Xu, Danny Yuan & Zhang, Yiting, 2011. "The Japanese economy in crises: A time series segmentation study," Economics Discussion Papers 2011-24, Kiel Institute for the World Economy (IfW).
    5. repec:spt:apfiba:v:7:y:2017:i:3:f:7_3_5 is not listed on IDEAS
    6. Coletti, Paolo, 2016. "Comparing minimum spanning trees of the Italian stock market using returns and volumes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 246-261.
    7. repec:spr:jeicoo:v:12:y:2017:i:3:d:10.1007_s11403-016-0176-x is not listed on IDEAS
    8. Janusz Mi'skiewicz, 2012. "Network analysis of correlation strength between the most developed countries," Papers 1211.3599, arXiv.org.
    9. Cheong, Siew Ann & Fornia, Robert Paulo & Lee, Gladys Hui Ting & Kok, Jun Liang & Yim, Woei Shyr & Xu, Danny Yuan & Zhang, Yiting, 2012. "The Japanese economy in crises: A time series segmentation study," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 6, pages 1-81.
    10. Zhang, Yiting & Lee, Gladys Hui Ting & Wong, Jian Cheng & Kok, Jun Liang & Prusty, Manamohan & Cheong, Siew Ann, 2011. "Will the US economy recover in 2010? A minimal spanning tree study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2020-2050.
    11. repec:kap:compec:v:51:y:2018:i:3:d:10.1007_s10614-016-9627-7 is not listed on IDEAS

    More about this item

    Keywords

    Symbolic time series analysis; Cluster analysis; Financial asset returns; C10; C14; G10;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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