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
Link To Document :
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