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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/11395

Google™ Scholar. Others By: Ñíguez, Trino-Manuel
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Title: Predicting the monthly volatility of the EuroStoxx 50 using data sampled at different frequencies
Author(s): Ñíguez, Trino-Manuel
Publisher: Universidad Carlos III de Madrid. Instituto Flores de Lemus
Issued date: 27-Jan-2008
URI: http://hdl.handle.net/10016/11395
Abstract: This paper analyses the forecastability of the EuroStoxx 50 monthly returns volatil- ity. We consider different proxies for the unobserved volatility variable by using data sampled at di¤erent frequencies, and GARCH and AGARCH models with Normal and Student s t errors for the dynamics of returns conditional variance. We nd that a method based on aggregation of multi step (daily) ahead GARCH-type forecasts provide quite accurate predictions of monthly volatility.
Keywords: Asymmetry
Frequency
Model ranking
Volatility forecasting
JEL Classification: C22
C52
C53
G32
Appears in Collections:IFL - Working Papers

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