IDEAS home Printed from https://ideas.repec.org/a/bal/journl/2256-074220184122.html
   My bibliography  Save this article

The Correctness Of The Capm-Model Application In The Ukrainian Reality In Terms Of Investors Financial Security

Author

Listed:
  • Liudmyla Zakharkina

    (Department of Finance and Entrepreneurship, Sumy State University, Ukraine)

  • Maryna Abramchuk

    (Department of Finance and Entrepreneurship, Sumy State University, Ukraine)

Abstract

Purpose. The purpose of this article is the research of correctness of CAPM-model application in the Ukrainian stock market and the analysis of the time factor's influence on the results of this model application. This problem acquires a special relevance for the provision of the investors' financial security, who act in the conditions of significant uncertainty and high risk of the Ukrainian stock market. Methodology. In this work, methods of dynamic lines' analysis, statistical, structural, comparative, correlation-regressive analysis were used. As the initial data during the research of profitability of the Ukrainian enterprises' shares, the data of the exchanging prices of the Ukrainian emitters' securities, according to the results of the trades in the Public JSC "Ukrainian Exchange", were used. Results. Contemporary approaches to the CAPM-model application in the markets, which are being developed, were analysed. As the result of this analysis, it was revealed that most of the scientific researches in this area emphasize incorrectness and unreliability of the results as to the prediction of the profitability indexes on such markets. Calculation of the β-coefficient for the Ukrainian emitters' securities for the various investments' horizon periods was done. The results of the calculation showed that the value of the β-coefficient varies greatly onthe terms of investment and is not of the strictly consistent pattern. Stock market profitability per month based on UX-index and considering the investment horizon period was calculated. The expected profitability of the Ukrainian emitters' securities was distinguished and compared to their real rate of returns. During the profitability analysis in the investment intervals, exponential moving average with its further shift for a month was used. It gave an opportunity to distinguish an average monthly profitability in the various investment horizon periods (1 till 12 months). Practical significance. The application of the suggested approach can become an additional technique for the estimation of the investment attractiveness of securities of the stock market emitters in the various investment horizon periods that, in its turn, will increase the safety of such investment. Conclusions. The conclusion was made as to the correctness of the CAPM-model application in the Ukrainian reality, according to which it is almost impossible to define the exact regularity of the behaviour of indexes of the expected and real profitability depending on the investment horizon period. It casts doubt on the possibility of the appropriate and correct application of the CAPMmodel in the Ukrainian stock market. This conclusion, in general, coincides with the conclusions of many scientists, who conducted similar researches in the stock markets of other developing countries.

Suggested Citation

  • Liudmyla Zakharkina & Maryna Abramchuk, 2018. "The Correctness Of The Capm-Model Application In The Ukrainian Reality In Terms Of Investors Financial Security," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 4(1).
  • Handle: RePEc:bal:journl:2256-0742:2018:4:1:22
    DOI: 10.30525/2256-0742/2018-4-1-163-168
    as

    Download full text from publisher

    File URL: http://www.baltijapublishing.lv/index.php/issue/article/view/346/pdf
    Download Restriction: no

    File URL: http://www.baltijapublishing.lv/index.php/issue/article/view/346
    Download Restriction: no

    File URL: https://libkey.io/10.30525/2256-0742/2018-4-1-163-168?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. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    2. Robert C. Merton, 2005. "Theory of rational option pricing," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 8, pages 229-288, World Scientific Publishing Co. Pte. Ltd..
    3. Abramov, Alexander & Radygin, Alexander & Chernova, Maria, 2015. "Long-term portfolio investments: New insight into return and risk," Russian Journal of Economics, Elsevier, vol. 1(3), pages 273-293.
    4. Abramov, Alexander & Radygin, Alexander & Chernova, Maria, 2015. "Long-term portfolio investments: New insight into return and risk," Russian Journal of Economics, Elsevier, vol. 1(3), pages 273-293.
    5. Roger Ibbotson & Peng Chen, 2001. "Stock Market Returns in the Long Run: Participating in the Real Economy," Yale School of Management Working Papers ysm206, Yale School of Management, revised 01 Apr 2002.
    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. 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.
    2. Dimson, Elroy & Mussavian, Massoud, 1999. "Three centuries of asset pricing," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1745-1769, December.
    3. 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.
    4. Roman Mestre, 2021. "A wavelet approach of investing behaviors and their effects on risk exposures," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-37, December.
    5. Zura Kakushadze, 2014. "4-Factor Model for Overnight Returns," Papers 1410.5513, arXiv.org, revised Jun 2015.
    6. Gordon G. Sollars & Sorin Tuluca, 2012. "The Optimal Timing of Strategic Action – A Real Options Approach," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 8(2), pages 78-95.
    7. Saggese, Pietro & Belmonte, Alessandro & Dimitri, Nicola & Facchini, Angelo & Böhme, Rainer, 2023. "Arbitrageurs in the Bitcoin ecosystem: Evidence from user-level trading patterns in the Mt. Gox exchange platform," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 251-270.
    8. Sin-Yu Ho & N.M. Odhiambo, 2018. "Analysing the macroeconomic drivers of stock market development in the Philippines," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1451265-145, January.
    9. Fernandez, Pablo, 2004. "Are calculated betas good for anything?," IESE Research Papers D/555, IESE Business School.
    10. Aynur Pala, 2014. "The Effect of Valuation Ratios, Gold Price, and Petroleum Price on Equity Returns: A Comparison of Static Panel and Quantile Regressions," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(1), pages 80-89, January.
    11. Chenglu Jin & Thomas Conlon & John Cotter, 2023. "Co-Skewness across Return Horizons," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1483-1518.
    12. Carmen López-Martín & Sonia Benito Muela & Raquel Arguedas, 2021. "Efficiency in cryptocurrency markets: new evidence," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 403-431, September.
    13. He, Xue-Zhong & Li, Youwei, 2015. "Testing of a market fraction model and power-law behaviour in the DAX 30," Journal of Empirical Finance, Elsevier, vol. 31(C), pages 1-17.
    14. Qian, Meijun & Tanyeri, Başak, 2017. "Litigation and mutual-fund runs," Journal of Financial Stability, Elsevier, vol. 31(C), pages 119-135.
    15. De Santis, Giorgio & imrohoroglu, Selahattin, 1997. "Stock returns and volatility in emerging financial markets," Journal of International Money and Finance, Elsevier, vol. 16(4), pages 561-579, August.
    16. Chen, Yong & Ferson, Wayne & Peters, Helen, 2010. "Measuring the timing ability and performance of bond mutual funds," Journal of Financial Economics, Elsevier, vol. 98(1), pages 72-89, October.
    17. Kim, Eung-Bin & Byun, Suk-Joon, 2021. "Risk, ambiguity, and equity premium: International evidence," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 321-335.
    18. Bas Peeters & Cees L. Dert & André Lucas, 2003. "Black Scholes for Portfolios of Options in Discrete Time: the Price is Right, the Hedge is wrong," Tinbergen Institute Discussion Papers 03-090/2, Tinbergen Institute.
    19. Nicolas Brisset & Dorian Jullien, 2019. "Models as Speech Acts: A Restatement and a new Case Study," GREDEG Working Papers 2019-09, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    20. Siriopoulos, Costas & Fassas, Athanasios, 2012. "An investor sentiment barometer — Greek Implied Volatility Index (GRIV)," Global Finance Journal, Elsevier, vol. 23(2), pages 77-93.

    More about this item

    Keywords

    stock market; profitability; beta-coefficient; stock index; investment horizon;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:bal:journl:2256-0742:2018:4:1:22. 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: Anita Jankovska (email available below). General contact details of provider: .

    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.