• Title of article

    A semiparametric GARCH model for foreign exchange volatility

  • Author/Authors

    Yang، نويسنده , , Lijian، نويسنده ,

  • Issue Information
    دوفصلنامه با شماره پیاپی سال 2006
  • Pages
    20
  • From page
    365
  • To page
    384
  • Abstract
    A semiparametric extension of the GJR model (Glosten et al., 1993. Journal of Finance 48, 1779–1801) is proposed for the volatility of foreign exchange returns. Under reasonable assumptions, asymptotic normal distributions are established for the estimators of the model, corroborated by simulation results. When applied to the Deutsche Mark/US Dollar and the Deutsche Mark/British Pound daily returns data, the semiparametric volatility model outperforms the GJR model as well as the more commonly used GARCH( 1 , 1 ) model in terms of goodness-of-fit, and forecasting, by correcting overgrowth in volatility.
  • Keywords
    Equivalent kernel , Geometric mixing , Goodness-of-Fit , Local polynomial
  • Journal title
    Journal of Econometrics
  • Serial Year
    2006
  • Journal title
    Journal of Econometrics
  • Record number

    1558850