IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v8y2001i2p121-124.html
   My bibliography  Save this article

Robust informational tests on the CAPM

Author

Listed:
  • Salvatore Terregrossa

Abstract

The paper demonstrates the existence of an independent informational content in the Capital Asset Pricing Model (CAPM) that financial analysts are not fully utilizing in their forecast-generating mechanism. This existence is discovered by regressing actual values of five-year firm earnings growth against financial analysts ex-ante forecasts and simulated ex-ante forecasts generated by the CAPM. Regressions are run over a cross-section of firms for each of four adjacent five-year horizons: January 1982-1987; 1983-1988; 1984-1989; 1985-1990. In three out of four test periods, the coefficient of the CAPM forecasts is significantly positive. This is essentially the same experiment with the same results as obtained previously, with one exception: a diagnostic analysis and corrective procedures are performed and results are generated that are heteroscedasticity-robust.

Suggested Citation

  • Salvatore Terregrossa, 2001. "Robust informational tests on the CAPM," Applied Economics Letters, Taylor & Francis Journals, vol. 8(2), pages 121-124.
    • Handle: RePEc:taf:apeclt:v:8:y:2001:i:2:p:121-124
    DOI: 10.1080/13504850150204183
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/13504850150204183&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504850150204183?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    2. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    3. Salvatore Terregrossa, 1999. "Combining analysts' forecasts with causal model forecasts of earnings growth," Applied Financial Economics, Taylor & Francis Journals, vol. 9(2), pages 143-153.
    4. 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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Salvatore Terregrossa, 2005. "On the efficacy of constraints on the linear combination forecast model," Applied Economics Letters, Taylor & Francis Journals, vol. 12(1), pages 19-28.
    2. TERREGROSSA Salvatore, 2010. "On the Efficacy of Constraints on the Linear Combination Forecast Model," EcoMod2003 330700144, EcoMod.

    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. Yu Wang & Haicheng Shu, 2019. "Evaluating the Performance of Factor Pricing Models for Different Stock Market Trends: Evidence from China," Working Papers 2019-10-10, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    2. 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.
    3. Cynthia M. Gong & Di Luo & Huainan Zhao, 2021. "Liquidity risk and the beta premium," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(4), pages 789-814, December.
    4. Hearn, Bruce & Piesse, Jenifer & Strange, Roger, 2010. "Market liquidity and stock size premia in emerging financial markets: The implications for foreign investment," International Business Review, Elsevier, vol. 19(5), pages 489-501, October.
    5. Wang, Huijun & Yan, Jinghua & Yu, Jianfeng, 2017. "Reference-dependent preferences and the risk–return trade-off," Journal of Financial Economics, Elsevier, vol. 123(2), pages 395-414.
    6. Korkmaz, Turhan & Cevik, Emrah Ismail & Gurkan, Serhan, 2010. "Testing the international capital asset pricing model with Markov switching model in emerging markets," MPRA Paper 71481, University Library of Munich, Germany, revised 2010.
    7. Ferreira, José & Gama, Ana, 2020. "The Relationship Between The Factors Of Risk In Asset Evaluation Models And Future Economic Growth: Evidence From Three Regional Markets," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 8(4), pages 300-319.
    8. Robert J Bianchi & Adam E Clements & Michael E Drew, 2009. "HACking at Non-linearity: Evidence from Stocks and Bonds," School of Economics and Finance Discussion Papers and Working Papers Series 244, School of Economics and Finance, Queensland University of Technology.
    9. François-Éric Racicot & William F Rentz & David Tessier & Raymond Théoret, 2019. "The conditional Fama-French model and endogenous illiquidity: A robust instrumental variables test," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-26, September.
    10. Kim, Dongcheol & Kim, Tong Suk & Min, Byoung-Kyu, 2011. "Future labor income growth and the cross-section of equity returns," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 67-81, January.
    11. Shum, Wai Cheong & Tang, Gordon Y.N., 2005. "Common risk factors in returns in Asian emerging stock markets," International Business Review, Elsevier, vol. 14(6), pages 695-717, December.
    12. 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.
    13. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654.
    14. Liew, Jimmy & Vassalou, Maria, 1999. "Can Book-to-Market, Size and Momentum Be Risk Factors That Predict Economic Growth," CEPR Discussion Papers 2180, C.E.P.R. Discussion Papers.
    15. Christopherson, Jon A & Ferson, Wayne E & Glassman, Debra A, 1998. "Conditioning Manager Alphas on Economic Information: Another Look at the Persistence of Performance," The Review of Financial Studies, Society for Financial Studies, vol. 11(1), pages 111-142.
    16. Maio, Paulo & Philip, Dennis, 2018. "Economic activity and momentum profits: Further evidence," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 466-482.
    17. Paul Schneider & Christian Wagner & Josef Zechner, 2020. "Low‐Risk Anomalies?," Journal of Finance, American Finance Association, vol. 75(5), pages 2673-2718, October.
    18. Pankaj K. Agarwal & H. K. Pradhan, 2018. "Mutual Fund Performance Using Unconditional Multifactor Models: Evidence from India," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(2_suppl), pages 157-184, August.
    19. Jordão, Gustavo A. & de Moura, Marcelo L., 2011. "Performance analysis of Brazilian hedge funds," Journal of Multinational Financial Management, Elsevier, vol. 21(3), pages 165-176, July.
    20. Wayne E. Ferson & Ravi Jagannathan, 1996. "Econometric evaluation of asset pricing models," Staff Report 206, Federal Reserve Bank of Minneapolis.

    More about this item

    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:taf:apeclt:v:8:y:2001:i:2:p:121-124. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.