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Empirical tests of the float-adjusted return model

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  • 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
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    References listed on IDEAS

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    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. 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.
    4. 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.
    5. 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.
    6. repec:bla:jfinan:v:44:y:1989:i:2:p:479-86 is not listed on IDEAS
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
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    Cited by:

    1. 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.
    2. 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.
    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).

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