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    Predicting the monthly volatility of the EuroStoxx 50 using data sampled at different frequencies
    (2008-01-27) Ñíguez, Trino-Manuel; Universidad Carlos III de Madrid. Instituto Flores de Lemus
    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.