IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v24y2018icp175-178.html
   My bibliography  Save this article

Understanding the outperformance of the minimum variance portfolio

Author

Listed:
  • Bednarek, Ziemowit
  • Patel, Pratish

Abstract

Minimum variance portfolio (MVP) seems to outperform the mean-variance optimized portfolio on a risk-adjusted basis. Scherer (2011) conjectures that the MVP tilts toward low beta and low idiosyncratic risk assets. Consequently, the MVP capitalizes on both the beta anomaly and the idiosyncratic risk anomaly. By providing a counter-example, Yanushevsky and Yanushevsky (2015) show that the proof of the conjecture is incomplete. In this article, we provide conditions under which Scherer (2011) conjecture remains valid. Specifically, we show that the counter-example in Yanushevsky and Yanushevsky (2015) represents a knife-edge case. We also analytically identify the MVP weight sign.

Suggested Citation

  • Bednarek, Ziemowit & Patel, Pratish, 2018. "Understanding the outperformance of the minimum variance portfolio," Finance Research Letters, Elsevier, vol. 24(C), pages 175-178.
    • Handle: RePEc:eee:finlet:v:24:y:2018:i:c:p:175-178
    DOI: 10.1016/j.frl.2017.09.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612317303495
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2017.09.005?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. Chiu, Wan-Yi & Jiang, Ching-Hai, 2016. "On the weight sign of the global minimum variance portfolio," Finance Research Letters, Elsevier, vol. 19(C), pages 241-246.
    2. Frazzini, Andrea & Pedersen, Lasse Heje, 2014. "Betting against beta," Journal of Financial Economics, Elsevier, vol. 111(1), pages 1-25.
    3. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    4. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    5. Scherer, Bernd, 2011. "A note on the returns from minimum variance investing," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 652-660, September.
    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. Blitz, David & Huisman, Rob & Swinkels, Laurens & van Vliet, Pim, 2020. "Media attention and the volatility effect," Finance Research Letters, Elsevier, vol. 36(C).
    2. Ahn, Jung-Hyun & Six, Pierre, 2019. "A study of first generation commodity indices: Indices based on financial diversification," Finance Research Letters, Elsevier, vol. 30(C), pages 194-200.
    3. Gerson N. Cardoso & Geraldo E. Silva, 2024. "Electoral influences on the Brazilian B3 data correlation network," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 251-272, January.
    4. Fabrizio Cipollini & Giampiero Gallo & Alessandro Palandri, 2020. "A Dynamic Conditional Approach to Portfolio Weights Forecasting," Econometrics Working Papers Archive 2020_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    5. Arezoo Mohammadi & Mehrzad Minnoei & Zadollah Fathi & Mohamamd Ali Keramati & Hossein Baktiari, 2022. "Optimal allocation of bank resources and risk reduction through portfolio decentralization," International Journal of Economic Sciences, European Research Center, vol. 11(2), pages 92-143, November.

    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. DiTraglia, Francis J. & Gerlach, Jeffrey R., 2013. "Portfolio selection: An extreme value approach," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 305-323.
    2. Huffman, Stephen P. & Moll, Cliff R., 2013. "An examination of the relation between asymmetric risk measures, prior returns and expected daily stock returns," Review of Financial Economics, Elsevier, vol. 22(1), pages 8-19.
    3. Peter Christoffersen & Xuhui (Nick) Pan, 2014. "Equity Portfolio Management Using Option Price Information," CREATES Research Papers 2015-05, Department of Economics and Business Economics, Aarhus University.
    4. Zaremba, Adam, 2019. "Price range and the cross-section of expected country and industry returns," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 174-189.
    5. Simone Bernardi & Markus Leippold & Harald Lohre, 2018. "Maximum diversification strategies along commodity risk factors," European Financial Management, European Financial Management Association, vol. 24(1), pages 53-78, January.
    6. Ardia, David & Boudt, Kris & Wauters, Marjan, 2016. "The economic benefits of market timing the style allocation of characteristic-based portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 38-62.
    7. Matthias M. M. Buehlmaier & Kit Pong Wong, 2020. "Should investors join the index revolution? Evidence from around the world," Journal of Asset Management, Palgrave Macmillan, vol. 21(3), pages 192-218, May.
    8. Kees G. Koedijk & Alfred M.H. Slager & Philip A. Stork, 2016. "Investing in Systematic Factor Premiums," European Financial Management, European Financial Management Association, vol. 22(2), pages 193-234, March.
    9. Wan-Ni Lai & Yi-Ting Chen & Edward W. Sun, 2021. "Comonotonicity and low volatility effect," Annals of Operations Research, Springer, vol. 299(1), pages 1057-1099, April.
    10. Rhee, S. Ghon & Wu, Feng (Harry), 2020. "Conditional extreme risk, black swan hedging, and asset prices," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 412-435.
    11. Michael Ungeheuer & Martin Weber, 2021. "The Perception of Dependence, Investment Decisions, and Stock Prices," Journal of Finance, American Finance Association, vol. 76(2), pages 797-844, April.
    12. Feng, Wenjun & Zhang, Zhengjun, 2023. "Risk-weighted cryptocurrency indices," Finance Research Letters, Elsevier, vol. 51(C).
    13. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    14. Bao, Te & Diks, Cees & Li, Hao, 2018. "A generalized CAPM model with asymmetric power distributed errors with an application to portfolio construction," Economic Modelling, Elsevier, vol. 68(C), pages 611-621.
    15. Tim Bollerslev & Sophia Zhengzi Li & Viktor Todorov, 2014. "Roughing up Beta: Continuous vs. Discontinuous Betas, and the Cross-Section of Expected Stock Returns," CREATES Research Papers 2014-48, Department of Economics and Business Economics, Aarhus University.
    16. Dimitri Vayanos & Paul Woolley, 2023. "Asset Management as Creator of Market Inefficiency," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 51(1), pages 1-11, March.
    17. Annaert, Jan & Mensah, Lord, 2014. "Cross-sectional predictability of stock returns, evidence from the 19th century Brussels Stock Exchange (1873–1914)," Explorations in Economic History, Elsevier, vol. 52(C), pages 22-43.
    18. Stefanescu, Razvan & Dumitriu, Ramona, 2015. "Conţinutul analizei seriilor de timp financiare [The Essentials of the Analysis of Financial Time Series]," MPRA Paper 67175, University Library of Munich, Germany.
    19. Miralles-Marcelo, José Luis & Miralles-Quirós, María del Mar & Miralles-Quirós, José Luis, 2012. "Asset pricing with idiosyncratic risk: The Spanish case," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 261-271.
    20. Maillet, Bertrand & Tokpavi, Sessi & Vaucher, Benoit, 2015. "Global minimum variance portfolio optimisation under some model risk: A robust regression-based approach," European Journal of Operational Research, Elsevier, vol. 244(1), pages 289-299.

    More about this item

    Keywords

    Minimum variance portfolio; Market portfolio; Bet against beta; Pricing anomaly;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:eee:finlet:v:24:y:2018:i:c:p:175-178. 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.elsevier.com/locate/frl .

    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.