IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v6y2009i4p219-229.html
   My bibliography  Save this article

Empirical tests of the float-adjusted return model

Author

Listed:
  • Zhang, Feng
  • Tian, Yao
  • Wirjanto, Tony S.

Abstract

This paper implements empirical tests of the recently proposed float-adjusted return model by using Chinese stock-market data. The results show that variation in free float can explain cross-sectional variation in asset returns by about 6.7% annually, after we control for market risk, size, and book-to-market equity. In addition, we also find that size and book-to-market equity help explain cross-sectional variations in returns even after controlling for free float.

Suggested Citation

  • Zhang, Feng & Tian, Yao & Wirjanto, Tony S., 2009. "Empirical tests of the float-adjusted return model," Finance Research Letters, Elsevier, vol. 6(4), pages 219-229, December.
    • Handle: RePEc:eee:finlet:v:6:y:2009:i:4:p:219-229
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544-6123(09)00039-7
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. 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.
    2. Weill, Pierre-Olivier, 2008. "Liquidity premia in dynamic bargaining markets," Journal of Economic Theory, Elsevier, vol. 140(1), pages 66-96, May.
    3. repec:bla:jfinan:v:44:y:1989:i:2:p:479-86 is not listed on IDEAS
    4. Chen, G M & Lee, Bong-Soo & Rui, Oliver, 2001. "Foreign Ownership Restrictions and Market Segmentation in China's Stock Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(1), pages 133-155, Spring.
    5. G. M. Chen & Bong‐Soo Lee & Oliver Rui, 2001. "Foreign Ownership Restrictions And Market Segmentation In China'S Stock Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(1), pages 133-155, March.
    6. 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.
    7. Kevin Q. Wang, 2003. "Asset Pricing with Conditioning Information: A New Test," Journal of Finance, American Finance Association, vol. 58(1), pages 161-196, February.
    8. 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.
    9. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    10. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    11. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    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. Jelisavka Bulatovic, 2011. "Application of Method of Financial Risk in Serbian Companies - Survey Sample Company," International Journal of Economics and Financial Issues, Econjournals, vol. 1(2), pages 54-73, June.
    2. Guangchuan Li & Lei Lu & Bo Wu & Zhou Zhang, 2014. "Asymmetric information, illiquidity and asset returns: evidence from China," Quantitative Finance, Taylor & Francis Journals, vol. 14(6), pages 947-957, June.
    3. Dong, Liang & Yu, Bo & Qin, Zhenjiang & Lam, Keith S.K., 2024. "Liquidity risk and expected returns in China’s stock market: A multidimensional liquidity approach," Research in International Business and Finance, Elsevier, vol. 69(C).

    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. 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.
    2. Stefano Gubellini, 2014. "Conditioning information and cross-sectional anomalies," Review of Quantitative Finance and Accounting, Springer, vol. 43(3), pages 529-569, October.
    3. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    4. 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.
    5. Chabi-Yo, Fousseni & Ruenzi, Stefan & Weigert, Florian, 2018. "Crash Sensitivity and the Cross Section of Expected Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(3), pages 1059-1100, June.
    6. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    7. Stefano Grassi & Francesco Violante, 2021. "Asset Pricing Using Block-Cholesky GARCH and Time-Varying Betas," CREATES Research Papers 2021-05, Department of Economics and Business Economics, Aarhus University.
    8. Racicot, François-Éric & Rentz, William F., 2018. "Does Illiquidity Matter? An Errors-in-Variables Perspective/¿Es importante la iliquidez? Un análisis desde el enfoque de errores en variables," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 36, pages 251-262, Enero.
    9. Liu, Jinjing, 2023. "A novel downside beta and expected stock returns," International Review of Financial Analysis, Elsevier, vol. 85(C).
    10. Kim, Soohun & Skoulakis, Georgios, 2018. "Ex-post risk premia estimation and asset pricing tests using large cross sections: The regression-calibration approach," Journal of Econometrics, Elsevier, vol. 204(2), pages 159-188.
    11. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    12. Bathia, Deven & Bredin, Don, 2018. "Investor sentiment: Does it augment the performance of asset pricing models?," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 290-303.
    13. Bai, Jennie & Bali, Turan G. & Wen, Quan, 2021. "Is there a risk-return tradeoff in the corporate bond market? Time-series and cross-sectional evidence," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1017-1037.
    14. François-Éric Racicot & William F. Rentz & Alfred L. Kahl, 2017. "Rolling Regression Analysis of the Pástor-Stambaugh Model: Evidence from Robust Instrumental Variables," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 23(1), pages 75-90, February.
    15. Rapheedah Musneh & Mohd. Rahimie Abdul Karim & Caroline Geetha A/P Arokiadasan Baburaw, 2021. "Liquidity risk and stock returns: empirical evidence from industrial products and services sector in Bursa Malaysia," Future Business Journal, Springer, vol. 7(1), pages 1-10, December.
    16. Figlioli, Bruno & Lima, Fabiano Guasti, 2019. "Stock pricing in Latin America: The synchronicity effect," Emerging Markets Review, Elsevier, vol. 39(C), pages 1-17.
    17. Azevedo, Vitor, 2023. "Analysts’ underreaction and momentum strategies," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    18. Atilgan, Yigit & Bali, Turan G. & Demirtas, K. Ozgur & Gunaydin, A. Doruk, 2020. "Left-tail momentum: Underreaction to bad news, costly arbitrage and equity returns," Journal of Financial Economics, Elsevier, vol. 135(3), pages 725-753.
    19. Kim, Soon-Ho & Kim, Dongcheol & Shin, Hyun-Soo, 2012. "Evaluating asset pricing models in the Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 198-227.
    20. Boons, M.F., 2014. "Sorting out commodity and macroeconomic risk in expected stock returns," Other publications TiSEM 1ebdac58-bf37-499d-8835-1, Tilburg University, School of Economics and Management.

    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:eee:finlet:v:6:y:2009:i:4:p:219-229. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.