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| Home > Research literature > Working papers > Forecasting volatility using a continuous time model |
| Home > Research literature > Working papers > Forecasting volatility using a continuous time model |
| Date: | 2006 |
| Description: | 32 p. |
| Abstract: | This paper evaluates the forecasting performance of a continuous stochastic volatility model with two factors of volatility (SV2F) and compares it to those of GARCH and ARFIMA models. The empirical results show that the volatility forecasting ability of the SV2F model is better than that of the GARCH and ARFIMA models, especially when volatility seems to change pattern. We use ex-post volatility as a proxy of the realized volatility obtained from intraday data and the forecasts from the SV2F are calculated using the reprojection technique proposed by Gallant and Tauchen (1998). |
| Rights: | Aquest document està subjecte a una llicència d'ús de Creative Commons, amb la qual es permet copiar, distribuir i comunicar públicament l'obra sempre que se'n citin l'autor original, la universitat, la unitat i l'institut i no se'n faci cap ús comercial ni obra derivada, tal com queda estipulat en la llicència d'ús  |
| Language: | Anglès |
| Series: | Departament d'Economia i d'Història Econòmica. Unitat de Fonaments de l'Anàlisi Econòmica / Institut d'Anàlisi Econòmica (CSIC). Working papers |
| Series: | Working papers ; 584.03 |
| Document: | Working paper |
| Subject: | Processos estocàstics |
