IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0305736.html
   My bibliography  Save this article

Smart betas, return models and the tangency portfolio weights

Author

Listed:
  • Jan Lennartsson
  • Claes Ekman

Abstract

In this paper, we analytically derive closed-form expressions for the tangency portfolio weights: the fully invested portfolio that maximizes the expected return over the risk-free rate, relative to the volatility of the portfolio return. We explicitly derive this portfolio from a range of underlying return models and show examples where it coincides with different well-known smart beta products. Specifically, we find the closed-form expression for the tangency portfolio weights for a return model with compound symmetric correlation matrix. We also deduce the tangency portfolio weights for the CAPM return model and illustrate in a case study that the estimated tangency portfolio weights may distinctly deviate from the market value weighted portfolio. Furthermore, we show that depending on the return model, the tangency portfolio weights may take a diverse set of shapes; from very diversified to highly concentrated portfolios.

Suggested Citation

  • Jan Lennartsson & Claes Ekman, 2024. "Smart betas, return models and the tangency portfolio weights," PLOS ONE, Public Library of Science, vol. 19(6), pages 1-19, June.
  • Handle: RePEc:plo:pone00:0305736
    DOI: 10.1371/journal.pone.0305736
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0305736
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0305736&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0305736?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
    ---><---

    References listed on IDEAS

    as
    1. J. Tobin, 1958. "Liquidity Preference as Behavior Towards Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 25(2), pages 65-86.
    2. Wolfgang Bessler & Georgi Taushanov & Dominik Wolff, 2021. "Factor investing and asset allocation strategies: a comparison of factor versus sector optimization," Journal of Asset Management, Palgrave Macmillan, vol. 22(6), pages 488-506, October.
    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    4. Bessler, Wolfgang & Taushanov, Georgi & Wolff, Dominik, 2021. "Factor investing and asset allocation strategies: a comparison of factor versus sector optimization," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 150053, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Geoffrey J. Warren, 2019. "Choosing and Using Utility Functions in Forming Portfolios," Financial Analysts Journal, Taylor & Francis Journals, vol. 75(3), pages 39-69, July.
    6. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    Full references (including those not matched with items on IDEAS)

    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. Haim Levy & Enrico De Giorgi & Thorsten Hens, "undated". "Prospect Theory and the CAPM: A contradiction or coexistence?," IEW - Working Papers 157, Institute for Empirical Research in Economics - University of Zurich.
    2. Qu, Xiangyu, 2017. "Subjective mean–variance preferences without expected utility," Mathematical Social Sciences, Elsevier, vol. 87(C), pages 31-39.
    3. Izhakian, Yehuda, 2020. "A theoretical foundation of ambiguity measurement," Journal of Economic Theory, Elsevier, vol. 187(C).
    4. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Market Efficiency of Oil Spot and Futures: A Stochastic Dominance Approach," CIRJE F-Series CIRJE-F-705, CIRJE, Faculty of Economics, University of Tokyo.
    5. Christian Ehm & Christine Kaufmann & Martin Weber, 2014. "Volatility Inadaptability: Investors Care About Risk, but Cannot Cope with Volatility," Review of Finance, European Finance Association, vol. 18(4), pages 1387-1423.
    6. Yehuda Izhakian, 2012. "Capital Asset Pricing Under Ambiguity," Working Papers 12-02, New York University, Leonard N. Stern School of Business, Department of Economics.
    7. Yoshihiro Shirai, 2023. "Acceptable Bilateral Gamma Parameters," Papers 2301.05333, arXiv.org.
    8. John Y. Campbell, 2000. "Asset Pricing at the Millennium," Journal of Finance, American Finance Association, vol. 55(4), pages 1515-1567, August.
    9. Sonntag, Dominik, 2018. "Die Theorie der fairen geometrischen Rendite [The Theory of Fair Geometric Returns]," MPRA Paper 87082, University Library of Munich, Germany.
    10. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    11. Brice Corgnet & Camille Cornand & Nobuyuki Hanaki, 2020. "Negative Tail Events, Emotions & Risk Taking," Working Papers 2016, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    12. Luciano de Castro & Antonio F. Galvao & Gabriel Montes-Rojas & Jose Olmo, 2022. "Portfolio selection in quantile decision models," Annals of Finance, Springer, vol. 18(2), pages 133-181, June.
    13. Levy, Haim & Levy, Moshe, 2021. "Stocks versus bonds for the long run when a riskless asset is available," Journal of Banking & Finance, Elsevier, vol. 133(C).
    14. Achim BACKHAUS & Aliya ZHAKANOVA ISIKSAL, 2016. "The Impact of Momentum Factors on Multi Asset Portfolio," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 146-169, December.
    15. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    16. Mario Ghossoub & Michael Boyuan Zhu, 2025. "Risk-constrained portfolio choice under rank-dependent utility," Finance and Stochastics, Springer, vol. 29(2), pages 399-442, April.
    17. Khojasteh, Khosrow, 1992. "Effects of farm characteristics and government disaster assistance on multiple-peril crop insurance purchases by Iowa crop farmers," ISU General Staff Papers 1992010108000010841, Iowa State University, Department of Economics.
    18. Gregory Gadzinski & Markus Schuller & Shabnam Mousavi, 2022. "Long-lasting heuristics principles for efficient investment decisions," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 14(4), pages 570-583, March.
    19. Joro, Tarja & Na, Paul, 2006. "Portfolio performance evaluation in a mean-variance-skewness framework," European Journal of Operational Research, Elsevier, vol. 175(1), pages 446-461, November.
    20. Brice Corgnet & Camille Cornand & Nobuyuki Hanaki, 2020. "Tail events, emotions and risk taking," Working Papers halshs-02613344, HAL.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0305736. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.