• DocumentCode
    442009
  • Title

    Modelling risk premium of repo interest rate in the SSE

  • Author

    Fan, Long-Zhen

  • Author_Institution
    Sch. of Manage., Fudan Univ., Shanghai, China
  • Volume
    6
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    3463
  • Abstract
    With weekly data of repo rates in the SSE, it is found that the expectations hypothesis fails to explain the repo rates, and risk premiums are significant and time-varying. One-factor and two-factor Guassian essential affine models are estimated to model the time-varying risk premiums, and the likelihood ratio test shows that the two-factor model has no significant improvement over the one-factor model. Although one-factor Guassian essential affine model fits the risk premiums very well, the model doesn´t fit the means and standard deviations of the repo rates.
  • Keywords
    Gaussian processes; economic indicators; maximum likelihood estimation; modelling; risk analysis; stock markets; SSE; Shanghai Stock Exchange; likelihood ratio test; one-factor Guassian essential affine model; repo interest rate; time-varying risk premium modelling; two-factor model Guassian essential affine model; Cybernetics; Economic indicators; Instruments; Machine learning; Macroeconomics; Pricing; Risk management; Security; Stock markets; Testing; Interest rate; Kalman filter; affine model; risk premium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527541
  • Filename
    1527541