IDEAS home Printed from https://ideas.repec.org/a/sae/emffin/v11y2012i1p37-60.html
   My bibliography  Save this article

The Return Predictability and Market Efficiency of the KLSE CI Stock Index Futures Market

Author

Listed:
  • J.L. Ford
  • Wee Ching Pok
  • S. Poshakwale

Abstract

Numerous studies have shown that returns on stocks and futures can to some extent be predicted over time, and that for developed financial markets, the predictions are compatible with the beta-asset pricing (APT) paradigm. Increasingly, more studies have been undertaken to test the veracity of such a paradigm in emerging markets. It has been contended that the paradigm is inapplicable to those markets and will, in any event, be unable to account for predicted asset returns. In this study we consider the Stock Exchange futures market in Malaysia, which has been neglected in the literature. Our econometric findings (using GMM) indicate that the APT model can be used as a rationale for the predictability of asset returns using local information, with the betas being constant and the expected risk premia being time-varying. JEL Classification : C5, F3, G1

Suggested Citation

  • J.L. Ford & Wee Ching Pok & S. Poshakwale, 2012. "The Return Predictability and Market Efficiency of the KLSE CI Stock Index Futures Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 11(1), pages 37-60, April.
    • Handle: RePEc:sae:emffin:v:11:y:2012:i:1:p:37-60
    DOI: 10.1177/097265271101100102
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/097265271101100102
    Download Restriction: no
    File URL: https://libkey.io/10.1177/097265271101100102?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. Joelle Miffre, 2002. "The predictability of futures returns: rational variation in required returns or market inefficiency?," Applied Financial Economics, Taylor & Francis Journals, vol. 12(10), pages 715-724.
    2. Wee Ching Pok & Sunil Poshakwale, 2004. "The impact of the introduction of futures contracts on the spot market volatility: the case of Kuala Lumpur Stock Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 14(2), pages 143-154.
    3. Connor, Gregory, 1984. "A unified beta pricing theory," Journal of Economic Theory, Elsevier, vol. 34(1), pages 13-31, October.
    4. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    5. Friedman, Benjamin M., 1979. "Optimal expectations and the extreme information assumptions of `rational expectations' macromodels," Journal of Monetary Economics, Elsevier, vol. 5(1), pages 23-41, January.
    6. repec:bla:jfinan:v:53:y:1998:i:2:p:549-573 is not listed on IDEAS
    7. Ferson, Wayne E & Korajczyk, Robert A, 1995. "Do Arbitrage Pricing Models Explain the Predictability of Stock Returns?," The Journal of Business, University of Chicago Press, vol. 68(3), pages 309-349, July.
    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. J. L. Ford & Wee Ching Pok & S. Poshakwale, 2006. "The Predictability of KLSE CI Stock Index Futures Returns and The Conditional Multifactor APT Model," Discussion Papers 06-09, Department of Economics, University of Birmingham.
    2. 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.
    3. Ouysse, Rachida & Kohn, Robert, 2010. "Bayesian variable selection and model averaging in the arbitrage pricing theory model," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3249-3268, December.
    4. Ghysels, E., 1995. "On Stable Factor Structurs in the Pricing of Risk," Cahiers de recherche 9525, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    5. Wayne E. Ferson & Ravi Jagannathan, 1996. "Econometric evaluation of asset pricing models," Staff Report 206, Federal Reserve Bank of Minneapolis.
    6. Chadwick, Meltem, 2010. "Performance of Bayesian Latent Factor Models in Measuring Pricing Errors," MPRA Paper 79060, University Library of Munich, Germany.
    7. Erdinc Altay, 2003. "The Effect of Macroeconomic Factors on Asset Returns: A Comparative Analysis of the German and the Turkish Stock Markets in an APT Framework," Finance 0307006, University Library of Munich, Germany.
    8. Seung C. Ahn & Alex R. Horenstein, 2017. "Asset Pricing and Excess Returns over the Market Return," Working Papers 2017-12, University of Miami, Department of Economics.
    9. Jones, Christopher S., 2001. "Extracting factors from heteroskedastic asset returns," Journal of Financial Economics, Elsevier, vol. 62(2), pages 293-325, November.
    10. Levent, Korap, 2007. "Modeling purchasing power parity using co-integration: evidence from Turkey," MPRA Paper 19584, University Library of Munich, Germany.
    11. R. Santos Alimi, 2014. "ARDL Bounds Testing Approach to Cointegration: A Re-Examination of Augmented Fisher Hypothesis in an Open Economy," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 2(2), pages 103-114, June.
    12. Prabheesh, K.P. & Anglingkusumo, Reza & Juhro, Solikin M., 2021. "The dynamics of global financial cycle and domestic economic cycles: Evidence from India and Indonesia," Economic Modelling, Elsevier, vol. 94(C), pages 831-842.
    13. Costas KARFAKIS & Constantinos KATRAKILIDIS & Eftychia TSANANA, 2014. "Does output predict unemployment? A look at Okun's law in Greece," International Labour Review, International Labour Organization, vol. 153(3), pages 421-433, September.
    14. Mohamed, Hazik & Masih, Mansur, 2017. "Stock market comovement among the ASEAN-5 : a causality analysis," MPRA Paper 98781, University Library of Munich, Germany.
    15. Muhammad Farooq Arby & Muhammad Nadeem Hanif, 2010. "Monetary and Fiscal Policies Coordination: Pakistan’s Experience," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 6, pages 3-13.
    16. Panagiotis Pegkas & Constantinos Tsamadias, 2017. "Are There Separate Effects of Male and Female Higher Education on Economic Growth? Evidence from Greece," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(1), pages 279-293, March.
    17. Erie Febrian & Aldrin Herwany, 2009. "Volatility Forecasting Models and Market Co-Integration: A Study on South-East Asian Markets," Working Papers in Economics and Development Studies (WoPEDS) 200911, Department of Economics, Padjadjaran University, revised Sep 2009.
    18. Silvério, Renan & Szklo, Alexandre, 2012. "The effect of the financial sector on the evolution of oil prices: Analysis of the contribution of the futures market to the price discovery process in the WTI spot market," Energy Economics, Elsevier, vol. 34(6), pages 1799-1808.
    19. Marcus Box & Karl Gratzer & Xiang Lin, 2020. "Destructive entrepreneurship in the small business sector: bankruptcy fraud in Sweden, 1830–2010," Small Business Economics, Springer, vol. 54(2), pages 437-457, February.
    20. Evan Lau & Koon Po Lee, 2008. "Interdependence of income between China and ASEAN‐5 countries," Journal of Chinese Economic and Foreign Trade Studies, Emerald Group Publishing Limited, vol. 1(2), pages 148-161, June.

    More about this item

    Keywords

    APT; market efficiency; stock index futures; emerging market; return predictability;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • F3 - International Economics - - International Finance
    • G1 - Financial Economics - - General Financial Markets

    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:sae:emffin:v:11:y:2012:i:1:p:37-60. 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: SAGE Publications (email available below). General contact details of provider: http://www.ifmr.ac.in .

    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.