• DocumentCode
    3326016
  • Title

    A quantile-based empirical research of CAPM in China’s financial stocks

  • Author

    Weng Ya-min ; Wang Xin-Yu

  • Author_Institution
    Sch. of Manage., China Univ. of Min. & Technol., Xuzhou
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    1264
  • Lastpage
    1268
  • Abstract
    This dissertation tested whether the relationship between systematic risk and average returns of financial stocks in China consists with the CAPM(capital asset pricing model) theory, using the daily data of 2007 and comparing the method ordinary least square(OLS) with quantile regression. The result shows that, systematic risk is not the only determinant factor of financial stockspsila pricing in China, it contributes more for overperforming stocks than underperforming stocks. The influence of systematic risk is different for different stocks, for the value of beta is higher in overperforming stocks and lower in underperforming stocks. We also found that the risk-free rate should be negative. And beta is positively related to returns, but the increase of returns is obviously slower than the growth of systematic risk.
  • Keywords
    financial management; least squares approximations; pricing; regression analysis; stock markets; capital asset pricing model; financial stocks; ordinary least square; quantile regression; Asset management; Conference management; Engineering management; Financial management; Pricing; Regression analysis; Risk analysis; Risk management; Technology management; Testing; capital asset pricing model (CAPM); empirical analysis; financial stocks; quantile regression; systematic risk;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    978-1-4244-2387-3
  • Electronic_ISBN
    978-1-4244-2388-0
  • Type

    conf

  • DOI
    10.1109/ICMSE.2008.4669070
  • Filename
    4669070