Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/17990
Authors: 
Sucarrat, Genaro
Year of Publication: 
2008
Series/Report no.: 
Economics Discussion Papers / Institut für Weltwirtschaft 2008-18
Abstract: 
A practice that has become widespread is that of comparing forecasts of financial return variability obtained from discrete time models against high frequency estimates based on continuous time theory. In explanatory financial return variability modelling this raises several methodological and practical issues, which suggests an alternative framework is needed. The contribution of this study is twofold. First, the finite sample properties of operational and practical procedures for the forecast evaluation of explanatory discrete time models of financial return variability are studied. Second, with basis in the simulation results a simple framework is proposed and illustrated.
Subjects: 
Return variability forecasting
financial volatility
explanatory modelling
JEL: 
C53
C52
F37
F31
Creative Commons License: 
http://creativecommons.org/licenses/by-nc/2.0/de/deed.en
Document Type: 
Working Paper

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