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Investment Style Preference and its Effect Upon Performance of Tracking Portfolios

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  • Martin Boďa

    (Quantitative Methods and Information Systems Department, Faculty of Economics, Matej Bel University in Banská Bystrica, Národná 1, 974 01 Banská Bystrica, Slovak Republic)

  • Mária Kanderová

    (Quantitative Methods and Information Systems Department, Faculty of Economics, Matej Bel University in Banská Bystrica, Národná 1, 974 01 Banská Bystrica, Slovak Republic)

Abstract

Any task of portfolio creation requires that a suitable pre-selection of assets is made, out of which the resultant portfolio is to be formed. Several approaches in passive investing implemented through portfolio tracking are applied in practice, and assets are pre-selected frequently on the basis of their capitalization or value/growth potential. The paper studies to which extent the investment style practiced by a small investor affects the performance of the tracking portfolio. The design of the analysis is experimental and hinges on tracking the S & P 500 Index in three different periods with assets pre-selected by diverse investment styles. Taking the approach of with linear and quadratic tracking, two factors are analyzed on that occasion: the investment style (big vs. small market capitalization, value vs. growth assets, Fama-French stratas of assets) and the number of assets (10, 20, 30, 40, 50 assets). It is found that while small market capitalization portfolios were preferable in the first two parts of the investigated time frame, this pattern ceased to hold in the third last part with no guidance for a recommendable investment style.

Suggested Citation

  • Martin Boďa & Mária Kanderová, 2017. "Investment Style Preference and its Effect Upon Performance of Tracking Portfolios," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(6), pages 1851-1863.
  • Handle: RePEc:mup:actaun:actaun_2017065061851
    DOI: 10.11118/actaun201765061851
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    References listed on IDEAS

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    1. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    2. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    3. Louis K. C. Chan & Hsiu-Lang Chen & Josef Lakonishok, 2002. "On Mutual Fund Investment Styles," Review of Financial Studies, Society for Financial Studies, vol. 15(5), pages 1407-1437.
    4. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    5. Schadler, Frederick P. & Eakins, Stanley G., 2001. "A stock selection model using Morningstar's style box," Financial Services Review, Elsevier, vol. 10(1-4), pages 129-144.
    6. Gold, Steven C. & Lebowitz, Paul, 1999. "Computerized stock screening rules for portfolio selection," Financial Services Review, Elsevier, vol. 8(2), pages 61-70.
    7. Rudolf, Markus & Wolter, Hans-Jurgen & Zimmermann, Heinz, 1999. "A linear model for tracking error minimization," Journal of Banking & Finance, Elsevier, vol. 23(1), pages 85-103, January.
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