IDEAS home Printed from https://ideas.repec.org/a/jes/journl/y2021v12p31-52.html
   My bibliography  Save this article

The effectiveness of applying beta-coefficient modifications when calculating returns on shares in Russian companies

Author

Listed:
  • Valentina ZOZULYA

    (Bauman Moscow State Technical University, Moscow, Russia)

  • Evgeny SOKOLOV

    (Bauman Moscow State Technical University, Moscow, Russia)

  • Evgeny KOSTYRIN

    (Bauman Moscow State Technical University, Moscow, Russia)

  • Sergey KOROLEV

    (Bauman Moscow State Technical University, Moscow, Russia)

Abstract

This article analyzes the effectiveness of various beta coefficient modifications in forecasting on the Russian stock market. Objective: To test the hypothesis of the superiority of modified beta coefficients in forecast accuracy. Methods: Calculating and comparing the stock returns of ten companies that play a key role in the Russian economy based on three beta coefficient modifications: classic, Monkhouse, and two beta. The criteria were used for verifying sample homogeneity in order to test the hypothesis that modified beta coefficients produce more accurate forecasting. Results: The analysis showed that, in most cases, none of the three models obtained relevant results for the Russian companies. None of the modifications tested can be recognized with high confidence as more accurate than traditional beta coefficients. Conclusions: In the contemporary Russian stock market, the CAPM does not allow one to produce satisfactory forecasts on stock returns.

Suggested Citation

  • Valentina ZOZULYA & Evgeny SOKOLOV & Evgeny KOSTYRIN & Sergey KOROLEV, 2021. "The effectiveness of applying beta-coefficient modifications when calculating returns on shares in Russian companies," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 12, pages 31-52, June.
  • Handle: RePEc:jes:journl:y:2021:v:12:p:31-52
    DOI: https://doi.org/10.47743/ejes-2021-0102
    as

    Download full text from publisher

    File URL: https://ejes.uaic.ro/articles/EJES2021_1201_ZOZ.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.47743/ejes-2021-0102?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. Hur, Seok-Kyun & Chung, Chune Young, 2017. "Revisiting CAPM betas in an incomplete market: Evidence from the Korean stock market," Finance Research Letters, Elsevier, vol. 21(C), pages 241-248.
    2. Aswath Damodaran, 1999. "Estimating Risk Parameters," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-019, New York University, Leonard N. Stern School of Business-.
    3. Toyoda, Toshihisa, 1974. "Use of the Chow Test under Heteroscedasticity," Econometrica, Econometric Society, vol. 42(3), pages 601-608, May.
    4. Akdeniz Levent & Altay-Salih Aslihan & Caner Mehmet, 2003. "Time-Varying Betas Help in Asset Pricing: The Threshold CAPM," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(4), pages 1-18, March.
    5. Najeb M.H. Masoud, 2013. "The Impact of Stock Market Performance upon Economic Growth," International Journal of Economics and Financial Issues, Econjournals, vol. 3(4), pages 788-798.
    6. Roll, Richard, 1977. "A critique of the asset pricing theory's tests Part I: On past and potential testability of the theory," Journal of Financial Economics, Elsevier, vol. 4(2), pages 129-176, March.
    7. Jian Huang & Junyi Chai & Stella Cho, 2020. "Deep learning in finance and banking: A literature review and classification," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-24, December.
    8. Rahul Verma, 2011. "Testing forecasting power of the conditional relationship between beta and return," Journal of Risk Finance, Emerald Group Publishing, vol. 12(1), pages 69-77, January.
    9. 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.
    10. Matteo Rossi, 2016. "The capital asset pricing model: a critical literature review," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 18(5), pages 604-617.
    11. Vitaliy Semenyuk, 2016. "Pragmatics Of Using A Modified Capm Model For Estimating Cost Of Equity On Emerging Markets," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 2(2).
    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. Flouris, Triant & Walker, Thomas, 2005. "Financial Comparisons Across Different Business Models in the Canadian Airline Industry," 46th Annual Transportation Research Forum, Washington, D.C., March 6-8, 2005 208157, Transportation Research Forum.
    2. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    3. 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.
    4. Babalos, Vassilios & Caporale, Guglielmo Maria & Philippas, Nikolaos, 2012. "Efficiency evaluation of Greek equity funds," Research in International Business and Finance, Elsevier, vol. 26(2), pages 317-333.
    5. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2017. "Research in finance: A review of influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 188-199.
    6. Costanza Torricelli & Maria Cesira Urzì Brancati & Luca Mirtoleni, 2014. "The impact of skill and management structure on Serie A Clubs’ performance," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 14107, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    7. Mădălina Antoaneta Rădoi & Alexandru Olteanu, 2016. "Optimization of the Financial Instruments Portfolio," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 4(1), pages 64-71, May.
    8. Bai, Ye & Green, Christopher J., 2020. "Country and industry factors in tests of Capital Asset Pricing Models for partially integrated emerging markets," Economic Modelling, Elsevier, vol. 92(C), pages 180-194.
    9. Vassilios Babalos & Michael Doumpos & Nikolaos Philippas & Constantin Zopounidis, 2015. "Towards a Holistic Approach for Mutual Fund Performance Appraisal," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 35-53, June.
    10. Kingsley Fong & David R. Gallagher & Adrian D. Lee, 2008. "Benchmarking benchmarks: measuring characteristic selectivity using portfolio holdings data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(5), pages 761-781, December.
    11. Martin Lettau & Sydney Ludvigson, 2001. "Resurrecting the (C)CAPM: A Cross-Sectional Test When Risk Premia Are Time-Varying," Journal of Political Economy, University of Chicago Press, vol. 109(6), pages 1238-1287, December.
    12. Coën, Alain & Hübner, Georges, 2009. "Risk and performance estimation in hedge funds revisited: Evidence from errors in variables," Journal of Empirical Finance, Elsevier, vol. 16(1), pages 112-125, January.
    13. Ryan Bartens & Shakill Hassan, 2010. "Value, size and momentum portfolios in real time: the cross section of South African stocks," Australian Journal of Management, Australian School of Business, vol. 35(2), pages 181-202, August.
    14. Malevergne, Y. & Sornette, D., 2007. "Self-consistent asset pricing models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 382(1), pages 149-171.
    15. Clarke, Charles, 2022. "The level, slope, and curve factor model for stocks," Journal of Financial Economics, Elsevier, vol. 143(1), pages 159-187.
    16. Shafiqur Rahman & Matthew J. Schneider, 2019. "Tests of Alternative Asset Pricing Models Using Individual Security Returns and a New Multivariate F-Test," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-34, March.
    17. Stuart Hyde & Mohamed Sherif, 2005. "Consumption Asset Pricing Models: Evidence From The Uk," Manchester School, University of Manchester, vol. 73(3), pages 343-363, June.
    18. De Moor, Lieven & Sercu, Piet, 2013. "The smallest firm effect: An international study," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 129-155.
    19. Chen, Jing & Chollete, Lorán, 2006. "Financial Distress and Idiosyncratic Volatility: An Empirical Investigation," Discussion Papers 2006/8, Norwegian School of Economics, Department of Business and Management Science.
    20. Cynthia M. Gong & Di Luo & Huainan Zhao, 2021. "Liquidity risk and the beta premium," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(4), pages 789-814, December.

    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:jes:journl:y:2021:v:12:p:31-52. 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: Alupului Ciprian (email available below). General contact details of provider: https://edirc.repec.org/data/csjesro.html .

    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.