Are one factor logarithmic volatility models useful to fit the features of financial data? An application to microsoft data.
| Contribuinte(s) |
Universitat Autònoma de Barcelona. Unitat de Fonaments de l'Anàlisi Econòmica Institut d'Anàlisi Econòmica |
|---|---|
| Data(s) |
09/05/2006
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| Resumo |
This paper provides empirical evidence that continuous time models with one factor of volatility, in some conditions, are able to fit the main characteristics of financial data. It also reports the importance of the feedback factor in capturing the strong volatility clustering of data, caused by a possible change in the pattern of volatility in the last part of the sample. We use the Efficient Method of Moments (EMM) by Gallant and Tauchen (1996) to estimate logarithmic models with one and two stochastic volatility factors (with and without feedback) and to select among them. |
| Formato |
29 731922 bytes application/pdf |
| Identificador | |
| Idioma(s) |
eng |
| Relação |
Working papers; 585.03 |
| Direitos |
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 (http://creativecommons.org/licenses/by-nc-nd/2.5/es/) |
| Palavras-Chave | #Finances -- Models economètrics |
| Tipo |
info:eu-repo/semantics/workingPaper |
