Arbeitspapier
Prediction of Financial Downside-Risk with Heavy-Tailed Conditional Distributions
The use of GARCH models with stable Paretian innovations in financial modeling has been recently suggested in the literature. This class of processes is attractive because it allows for conditional skewness and leptokurtosis of financial returns without ruling out normality. This contribution illustrates their usefulness in predicting the downside risk of financial assets in the context of modeling foreign exchange-rates and demonstrates their superiority over use of normal or Student's t GARCH models.
- Sprache
-
Englisch
- Erschienen in
-
Series: CFS Working Paper ; No. 2003/04
- Klassifikation
-
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Model Construction and Estimation
General Financial Markets: General (includes Measurement and Data)
- Thema
-
Risk Management
Value at Risk
Density Forecasting
Predictive Likelihood
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Mittnik, Stefan
Paolella, Marc S.
- Ereignis
-
Veröffentlichung
- (wer)
-
Goethe University Frankfurt, Center for Financial Studies (CFS)
- (wo)
-
Frankfurt a. M.
- (wann)
-
2003
- Handle
- URN
-
urn:nbn:de:hebis:30-10106
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Mittnik, Stefan
- Paolella, Marc S.
- Goethe University Frankfurt, Center for Financial Studies (CFS)
Entstanden
- 2003
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