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Forecasting Volatility Using A Continuous Time Model

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dc.creator Lopes Moreira da Veiga, Maria Helena
dc.date 2007-11-05T13:07:07Z
dc.date 2007-11-05T13:07:07Z
dc.date 2003-09-04
dc.date.accessioned 2017-01-31T00:58:00Z
dc.date.available 2017-01-31T00:58:00Z
dc.identifier http://hdl.handle.net/10261/1840
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/1840
dc.description 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).
dc.language eng
dc.relation UFAE and IAE Working Papers
dc.relation 584.03
dc.rights openAccess
dc.subject Efficient Method of Moments
dc.subject Reprojection
dc.subject Factors of Volatility
dc.subject Fractional Integration
dc.title Forecasting Volatility Using A Continuous Time Model
dc.type Documento de trabajo


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