IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/30839.html
   My bibliography  Save this paper

Econometric testing of the CAPM: A granger causality analysis on the Turkish banking industry

Author

Listed:
  • Bayraci, Selcuk

Abstract

The CAPM suggests that stock returns are linearly dependent to the market returns. The only risk factor that an asset bears is the market risk which is captured by the asset's beta. But the CAPM equation does not say much about the causal relationship between market and asset returns. In order to test the validity of the CAPM equation, we have applied Granger causality tests. The causal relationship between the Istanbul Stock Exchange 100 index and banking sector stocks are examined through Granger tests. The data between 04.12.2007 and 04.12.2009 are used for the analysis. Overall we have found weak causal relationships between market and asset returns, therefore the CAPM is not an adequate model for the asset returns of Turkish banking stocks.

Suggested Citation

  • Bayraci, Selcuk, 2010. "Econometric testing of the CAPM: A granger causality analysis on the Turkish banking industry," MPRA Paper 30839, University Library of Munich, Germany, revised 10 May 2011.
    • Handle: RePEc:pra:mprapa:30839
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/30839/1/MPRA_paper_30839.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    2. Granger, Clive W. J., 1992. "Forecasting stock market prices: Lessons for forecasters," International Journal of Forecasting, Elsevier, vol. 8(1), pages 3-13, June.
    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. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    2. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, January.
    3. Muhammad Zia Ullah Khan & Muhammad Illyas & Muqqadas Rahman & Chaudhary Abdul Rahman, 2015. "Money Monetization and Economic Growth in Pakistan," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(4), pages 184-192, April.
    4. Yap, Wei Yim & Lam, Jasmine S.L., 2006. "Competition dynamics between container ports in East Asia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(1), pages 35-51, January.
    5. Erasmia Kotroni & Dimitra Kaika & Efthimios Zervas, 2020. "Environmental Kuznets Curve in Greece in the period 1960-2014," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 364-370.
    6. Shyh-Wei Chen, 2008. "Non-stationarity and Non-linearity in Stock Prices: Evidence from the OECD Countries," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-11.
    7. Ely, David & Salehizadeh, Mehdi, 2001. "American depositary receipts: An analysis of international stock price movements," International Review of Financial Analysis, Elsevier, vol. 10(4), pages 343-363.
    8. Kazem Yavari & Mina Mehrnoosh, 2005. "The Welfare Cost of Inflation in Iran," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 10(2), pages 111-117, fall.
    9. Choi-Meng Leong & Chin-Hong Puah & Shazali Abu Mansor & Evan Lau, 2010. "Testing the Effectiveness of Monetary Policy in Malaysia Using Alternative Monetary Aggregation," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(3), pages 321-338, August.
    10. Ali MNA & Moheddine YOUNSI, 2018. "A monetary conditions index and its application on Tunisian economic forecasting," Journal of Economics and Political Economy, KSP Journals, vol. 5(1), pages 38-56, March.
    11. Jan Babecký & Fabrizio Coricelli & Roman Horváth, 2009. "Assessing Inflation Persistence: Micro Evidence on an Inflation Targeting Economy," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 59(2), pages 102-127, June.
    12. Hauser, Shmuel & Kedar-Levy, Haim & Milo, Orit, 2022. "Price discovery during parallel stocks and options preopening: Information distortion and hints of manipulation," Journal of Financial Markets, Elsevier, vol. 59(PA).
    13. Rocha, Roberto de Rezende, 1991. "Inflation and stabilization in Yugoslavia," Policy Research Working Paper Series 752, The World Bank.
    14. Dhanya Jothimani & Ravi Shankar & Surendra S. Yadav, 2016. "Discrete Wavelet Transform-Based Prediction of Stock Index: A Study on National Stock Exchange Fifty Index," Papers 1605.07278, arXiv.org.
    15. Maria Soledad Martinez Peria, 2002. "The Impact of Banking Crises on Money Demand and Price Stability," IMF Staff Papers, Palgrave Macmillan, vol. 49(3), pages 1-1.
    16. Chi-Wei Su, 2012. "The relationship between exchange rate and macroeconomic variables in China," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 30(1), pages 33-56.
    17. Apergis, Nicholas, 2005. "An estimation of the natural rate of unemployment in Greece," Journal of Policy Modeling, Elsevier, vol. 27(1), pages 91-99, February.
    18. Ansharullah Tasri, 2019. "The Flypaper Effect Phenomenon: Evidence from Indonesia," European Journal of Engineering and Formal Sciences Articles, Revistia Research and Publishing, vol. 2, 2019.
    19. Grigori Fainstein & Igor Novikov, 2011. "The Comparative Analysis of Credit Risk Determinants In the Banking Sector of the Baltic States," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 20-45, June.
    20. Hu, Junjie & López Cabrera, Brenda & Melzer, Awdesch, 2021. "Advanced statistical learning on short term load process forecasting," IRTG 1792 Discussion Papers 2021-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".

    More about this item

    Keywords

    CAPM; Granger causality; unit-root tests;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

    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:30839. 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.