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Sector classification through non-Gaussian similarity

Author

Listed:
  • M. Vermorken
  • A. Szafarz
  • H. Pirotte

Abstract

Standard sector classification frameworks present drawbacks that might hinder portfolio managers. This article introduces a new nonparametric approach to equity classification. Returns are decomposed into their fundamental drivers through Independent Component Analysis (ICA). Stocks are then classified according to the relative importance of the identified fundamental drivers for their returns. A method is developed permitting the quantification of these dependencies, using a similarity index. Hierarchical clustering allows for grouping the stocks into new classes. The resulting classes are compared with those from the two-digit Global Industry Classification System (GICS) for US blue chip companies. It is shown that specific relations between stocks are not captured by the GICS framework. The method is tested for robustness and successfully applied to portfolio management.

Suggested Citation

  • M. Vermorken & A. Szafarz & H. Pirotte, 2010. "Sector classification through non-Gaussian similarity," Applied Financial Economics, Taylor & Francis Journals, vol. 20(11), pages 861-878.
  • Handle: RePEc:taf:apfiec:v:20:y:2010:i:11:p:861-878
    DOI: 10.1080/09603101003636238
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    References listed on IDEAS

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    1. repec:dau:papers:123456789/7748 is not listed on IDEAS
    2. Michel Beine & Pierre-Yves Preumont & Ariane Szafarz, 2006. "Sector diversification during crises: a European perspective," DULBEA Working Papers 06-07.RS, ULB -- Universite Libre de Bruxelles.
    3. Andrew J. Patton, 2004. "On the Out-of-Sample Importance of Skewness and Asymmetric Dependence for Asset Allocation," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 2(1), pages 130-168.
    4. Marie Briere & Ariane Szafarz, 2007. "Crisis-Robust Bond Portfolios," Working Papers CEB 07-030.RS, ULB -- Universite Libre de Bruxelles.
    5. Fama, Eugene F. & French, Kenneth R., 1997. "Industry costs of equity," Journal of Financial Economics, Elsevier, vol. 43(2), pages 153-193, February.
    6. Kole, Erik & Koedijk, Kees & Verbeek, Marno, 2007. "Selecting copulas for risk management," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2405-2423, August.
    7. Brown, Stephen J. & Goetzmann, William N., 1997. "Mutual fund styles," Journal of Financial Economics, Elsevier, vol. 43(3), pages 373-399, March.
    8. Farrell, James L, Jr, 1974. "Analyzing Covariation of Returns to Determine Homogeneous Stock Groupings," The Journal of Business, University of Chicago Press, vol. 47(2), pages 186-207, April.
    9. Roll, Richard, 1992. " Industrial Structure and the Comparative Behavior of International Stock Market Indices," Journal of Finance, American Finance Association, vol. 47(1), pages 3-41, March.
    10. Thierry Vessereau, 2000. "Factor Analysis and Independent Component Analysis in Presence of High Idiosyncratic Risks," CIRANO Working Papers 2000s-46, CIRANO.
    11. Peiro, Amado, 1999. "Skewness in financial returns," Journal of Banking & Finance, Elsevier, vol. 23(6), pages 847-862, June.
    12. Elton, Edwin J. & Gruber, Martin J., 1970. "Homogeneous Groups and the Testing of Economic Hypotheses," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 4(05), pages 581-602, January.
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    Cited by:

    1. repec:eee:finlet:v:21:y:2017:i:c:p:115-125 is not listed on IDEAS
    2. Marie Briere & Ariane Szafarz, 2018. "Factors and Sectors in Asset Allocation: Stronger Together?," Working Papers CEB 18-016, ULB -- Universite Libre de Bruxelles.

    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G19 - Financial Economics - - General Financial Markets - - - Other

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