Bootstrapping Stationary ARMA-GARCH Models
Bootstrap technique is a useful tool for assessing uncertainty in statistical estimation and thus it is widely applied for risk management. Bootstrap is without doubt a promising technique, however, it is not applicable to all time series models. A wrong application could lead to a false decision to...
| Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Wiesbaden :
Vieweg+Teubner,
2010.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Bootstrap Does not Always Work
- Parametric AR(p)-ARCH(q) Models
- Parametric ARMA(p, q)- GARCH(r, s) Models
- Semiparametric AR(p)-ARCH(1) Models.
