IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/12355.html
   My bibliography  Save this paper

Risk and return nexus in Malaysian stock market: Empirical evidence from CAPM

Author

Listed:
  • Md Isa, Abu Hassan
  • Puah, Chin-Hong
  • Yong, Ying-Kiu

Abstract

This paper examines the applicability of CAPM in explaining the risk-return relation in the Malaysian stock market for the period of January 1995 to December 2006. The test, using linear regression method, was carried out on four models: the standard CAPM model with constant beta (Model I), the standard CAPM model with time-varying beta (Model II), the CAPM model conditional on segregating positive and negative market risk premiums with constant beta (Model III), as well as the CAPM model conditional on segregating positive and negative market risk premiums with time varying beta (Model IV). Empirical results indicate that both the standard CAPM models (Model I and Model II) are statistically insignificant. However, the CAPM models conditional on segregating positive and negative market risk premiums (Model III and Model IV) are statistically significant. In addition, this study also discovers that time varying beta provides better explanatory power.

Suggested Citation

  • Md Isa, Abu Hassan & Puah, Chin-Hong & Yong, Ying-Kiu, 2008. "Risk and return nexus in Malaysian stock market: Empirical evidence from CAPM," MPRA Paper 12355, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:12355
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/12355/1/MPRA_paper_12355.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Ming-Hsiang, 2003. "Risk and return: CAPM and CCAPM," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(2), pages 369-393.
    2. Jagannathan, Ravi & Wang, Zhenyu, 1996. "The Conditional CAPM and the Cross-Section of Expected Returns," Journal of Finance, American Finance Association, vol. 51(1), pages 3-53, March.
    3. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    4. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    5. Soydemir, Gokce A., 2005. "Differences in the price of risk and the resulting response to shocks: an analysis of Asian markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(4), pages 285-313, October.
    6. Drew, Michael E. & Naughton, Tony & Veeraraghavan, Madhu, 2004. "Is idiosyncratic volatility priced?: Evidence from the Shanghai Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 13(3), pages 349-366.
    7. Joseph Cheng, 1997. "A switching regression approach to the stationarity of systematic and non-systematic risks: the Hong Kong experience," Applied Financial Economics, Taylor & Francis Journals, vol. 7(1), pages 45-57.
    8. Bos, T & Newbold, P, 1984. "An Empirical Investigation of the Possibility of Stochastic Systematic Risk in the Market Model," The Journal of Business, University of Chicago Press, vol. 57(1), pages 35-41, January.
    9. Ray Ball & Philip Brown & R. R. Officer, 1976. "Asset Pricing in the Australian Industrial Equity Market," Australian Journal of Management, Australian School of Business, vol. 1(1), pages 1-32, April.
    10. Nick Durack & Robert B. Durand & Ross A. Maller, 2004. "A best choice among asset pricing models? The Conditional Capital Asset Pricing Model in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 44(2), pages 139-162, July.
    11. Graham, John R. & Harvey, Campbell R., 2001. "The theory and practice of corporate finance: evidence from the field," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 187-243, May.
    12. Elsas, Ralf & El-Shaer, Mahmoud & Theissen, Erik, 2003. "Beta and returns revisited: Evidence from the German stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(1), pages 1-18, February.
    13. Yue-Cheong Chan, 1997. "Multivariate testing of the capital asset pricing model in the Hong Kong stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 7(3), pages 311-316.
    14. Shafiqur-Rahman & Coggin, T Daniel & Lee, Cheng-Few, 1998. "Some Tests of the Risk-Return Relationship Using Alternative Asset Pricing Models and Observed Expected Returns," Review of Quantitative Finance and Accounting, Springer, vol. 11(1), pages 69-91, July.
    15. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    16. Chan, Louis K C & Hamao, Yasushi & Lakonishok, Josef, 1991. "Fundamentals and Stock Returns in Japan," Journal of Finance, American Finance Association, vol. 46(5), pages 1739-1764, December.
    17. Tang, Gordon Y. N. & Shum, Wai Cheong, 2004. "The risk-return relations in the Singapore stock market," Pacific-Basin Finance Journal, Elsevier, vol. 12(2), pages 179-195, April.
    18. 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.
    19. 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.
    20. Bartholdy, Jan & Peare, Paula, 2005. "Estimation of expected return: CAPM vs. Fama and French," International Review of Financial Analysis, Elsevier, vol. 14(4), pages 407-427.
    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. Pasaribu, Rowland Bismark Fernando, 2010. "Pemilihan Model Asset Pricing [Asset pricing model selection: Indonesian Stock Exchange]," MPRA Paper 36978, University Library of Munich, Germany.
    2. van Dijk, Mathijs A., 2011. "Is size dead? A review of the size effect in equity returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3263-3274.
    3. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    4. Fernando Rubio, 2005. "Eficiencia De Mercado, Administracion De Carteras De Fondos Y Behavioural Finance," Finance 0503028, University Library of Munich, Germany, revised 23 Jul 2005.
    5. Paulo Alves, 2013. "The Fama French Model or the Capital Asset Pricing Model: International Evidence," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 7(2), pages 79-89.
    6. Da, Zhi & Guo, Re-Jin & Jagannathan, Ravi, 2012. "CAPM for estimating the cost of equity capital: Interpreting the empirical evidence," Journal of Financial Economics, Elsevier, vol. 103(1), pages 204-220.
    7. 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.
    8. Michael E. Drew & Madhu Veeraraghavan, 2000. "Multifactor Models are Alive and Well," School of Economics and Finance Discussion Papers and Working Papers Series 083, School of Economics and Finance, Queensland University of Technology.
    9. Don U.A. Galagedera, 2004. "A survey on risk-return analysis," Finance 0406010, University Library of Munich, Germany.
    10. Hollstein, Fabian & Prokopczuk, Marcel & Wese Simen, Chardin, 2020. "Beta uncertainty," Journal of Banking & Finance, Elsevier, vol. 116(C).
    11. Magdalena Mikolajek-Gocejna, 2021. "Estimation, Instability, and Non-Stationarity of Beta Coefficients for Twenty-four Emerging Markets in 2005-2021," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 370-395.
    12. repec:dau:papers:123456789/2514 is not listed on IDEAS
    13. Shahzad, Syed Jawad Hussain & Zakaria, Muhammad & Raza, Naveed, 2014. "Sensitivity Analysis of CAPM Estimates: Data Frequency and Time Frame," MPRA Paper 60110, University Library of Munich, Germany.
    14. Gabriel Hawawini & Donald B. Keim, "undated". "The Cross Section of Common Stock Returns: A Review of the Evidence and Some New Findings," Rodney L. White Center for Financial Research Working Papers 08-99, Wharton School Rodney L. White Center for Financial Research.
    15. Bernard Bollen & Philip Gharghori, 2016. "How is β related to asset returns?," Applied Economics, Taylor & Francis Journals, vol. 48(21), pages 1925-1935, May.
    16. Stefano D'Addona & Mattia Ciprian, 2007. "Time Varying Sensitivities On A Grid Architecture," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 307-329.
    17. Rocciolo, Francesco & Gheno, Andrea & Brooks, Chris, 2022. "Explaining abnormal returns in stock markets: An alpha-neutral version of the CAPM," International Review of Financial Analysis, Elsevier, vol. 82(C).
    18. John Y. Campbell & Tuomo Vuolteenaho, 2004. "Bad Beta, Good Beta," American Economic Review, American Economic Association, vol. 94(5), pages 1249-1275, December.
    19. John Y. Campbell, 2000. "Asset Pricing at the Millennium," Journal of Finance, American Finance Association, vol. 55(4), pages 1515-1567, August.
    20. repec:bla:jfinan:v:53:y:1998:i:6:p:1975-1999 is not listed on IDEAS
    21. Durand, Robert B. & Lan, Yihui & Ng, Andrew, 2011. "Conditional beta: Evidence from Asian emerging markets," Global Finance Journal, Elsevier, vol. 22(2), pages 130-153.
    22. Ericsson, Johan & Karlsson, Sune, 2003. "Choosing Factors in a Multifactor Asset Pricing Model: A Bayesian Approach," SSE/EFI Working Paper Series in Economics and Finance 524, Stockholm School of Economics, revised 12 Feb 2004.

    More about this item

    Keywords

    Stock market; CAPM; time-varying beta;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:pra:mprapa:12355. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.