IDEAS home Printed from https://ideas.repec.org/a/rze/efinan/v6y2010i4p1-23.html
   My bibliography  Save this article

The Analysis of an Investment Risk Within Emerging Capital Markets. The Case of the Warsaw Stock Exchange

Author

Listed:
  • Mieczyslaw Kowerski

    (University of Management and Administration in Zamosc)

Abstract

The purpose of the paper is to show that the three-factor Fama-French model can be a good instrument for analysis of investment risk on emerging capital markets if, because of the relatively small number of quoted companies, for calculation of the SMB and HML values we applied division of all companies into four portfolios (contrary to Fama – French who propose division of all companies into six portfolios). The usefulness of the above concept was verified on the Warsaw Stock Exchange. The models estimated with the Generalized Least Squares Method on monthly data within the period 1994 – 2008 have the signs of coefficients which are consistent with those of the Fama-French three-factor model and there is no autocorrelation of disturbances and no ARCH effect. Models are relatively high adjusted. Estimated coefficients are also robust. The models fully confirm the thesis posed by Fama and French that in addition to market risk there are two other risk factors which influence the return on investment. These are: risk associated with investing in small companies and risk connected with investing in companies undervalued by the market.

Suggested Citation

  • Mieczyslaw Kowerski, 2010. "The Analysis of an Investment Risk Within Emerging Capital Markets. The Case of the Warsaw Stock Exchange," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 6(4), pages 1-23, December.
    • Handle: RePEc:rze:efinan:v:6:y:2010:i:4:p:1-23
    as

    Download full text from publisher

    File URL: http://www.e-finanse.com/artykuly/155.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James L. Davis & Eugene F. Fama & Kenneth R. French, 2000. "Characteristics, Covariances, and Average Returns: 1929 to 1997," Journal of Finance, American Finance Association, vol. 55(1), pages 389-406, February.
    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. Waszczuk, Antonina, 2013. "A risk-based explanation of return patterns—Evidence from the Polish stock market," Emerging Markets Review, Elsevier, vol. 15(C), pages 186-210.

    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. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    2. Victor Olkhov, 2023. "Market-Based Probability of Stock Returns," Papers 2302.07935, arXiv.org, revised Feb 2024.
    3. Tim Brailsford & Clive Gaunt & Michael A O’Brien, 2012. "Size and book-to-market factors in Australia," Australian Journal of Management, Australian School of Business, vol. 37(2), pages 261-281, August.
    4. Silva, A. Christian & Prange, Richard E., 2007. "Virtual volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 507-516.
    5. Cakici, Nusret & Tang, Yi & Yan, An, 2016. "Do the size, value, and momentum factors drive stock returns in emerging markets?," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 179-204.
    6. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    7. Hendershott, Terrence & Livdan, Dmitry & Rösch, Dominik, 2020. "Asset pricing: A tale of night and day," Journal of Financial Economics, Elsevier, vol. 138(3), pages 635-662.
    8. Campbell, John Y. & Giglio, Stefano & Polk, Christopher & Turley, Robert, 2018. "An intertemporal CAPM with stochastic volatility," Journal of Financial Economics, Elsevier, vol. 128(2), pages 207-233.
    9. Pätäri, Eero & Karell, Ville & Luukka, Pasi & Yeomans, Julian S, 2018. "Comparison of the multicriteria decision-making methods for equity portfolio selection: The U.S. evidence," European Journal of Operational Research, Elsevier, vol. 265(2), pages 655-672.
    10. Praveen Kumar Das & S P Uma Rao, 2011. "Value Premiums And The January Effect: International Evidence," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 5(4), pages 1-15.
    11. Keith Lam & Frank Li, 2008. "The risk premiums of the four-factor asset pricing model in the Hong Kong stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 18(20), pages 1667-1680.
    12. Bruno Biais & Peter Bossaerts & Chester Spatt, 2010. "Equilibrium Asset Pricing and Portfolio Choice Under Asymmetric Information," The Review of Financial Studies, Society for Financial Studies, vol. 23(4), pages 1503-1543, April.
    13. Gopal K. Basak & Arnab Bhattacharjee & Samarjit Das, 2018. "Causal ordering and inference on acyclic networks," Empirical Economics, Springer, vol. 55(1), pages 213-232, August.
    14. Shaun Bond & Chen Xue, 2017. "The Cross Section of Expected Real Estate Returns: Insights from Investment-Based Asset Pricing," The Journal of Real Estate Finance and Economics, Springer, vol. 54(3), pages 403-428, April.
    15. Joshua D. Coval & Tobias J. Moskowitz, 2001. "The Geography of Investment: Informed Trading and Asset Prices," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 811-841, August.
    16. Stefan Nagel, 2013. "Empirical Cross-Sectional Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 167-199, November.
    17. 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.
    18. Oyetayo Oluwatosin J & Adeyeye Patrick Olufemi, 2017. "A Robust Application of the Arbitrage Pricing Theory: Evidence from Nigeria," Journal of Economics and Behavioral Studies, AMH International, vol. 9(1), pages 141-151.
    19. Geertsema, Paul & Lu, Helen, 2020. "The correlation structure of anomaly strategies," Journal of Banking & Finance, Elsevier, vol. 119(C).
    20. Gerard Hoberg & S. Katie Moon, 2019. "The Offshoring Return Premium," Management Science, INFORMS, vol. 67(6), pages 2876-2899, June.

    More about this item

    Keywords

    efficient market hypothesis; Fama-French three-factor model; Generalized Least Squares Method;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:rze:efinan:v:6:y:2010:i:4:p:1-23. 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: Pawel Bochenek (email available below). General contact details of provider: https://edirc.repec.org/data/igwsipl.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.