Program > Papers by speaker > Hecq Alain

Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector
Alain Hecq  1, 2@  , Gianluca Cubadda  3, *@  , Antonio Riccardo  4, *@  
1 : Maastricht University  (UM)
P.O.Box 616, 6200 MD Maastricht -  Netherlands
2 : Maastricht University
3 : Università di Roma Tor Vergata
4 : Interactive Data Kler'S
* : Corresponding author

This paper aims at evaluating the forecasting performances of a set of univariate fractional white noise processes versus multivariate factor models for realized volatility measures. We do not provide a new horse race comparaison of different approaches. Instead, through forecast accuracy analyses, we wish to evaluate the underlying mechanisms that has generated realized volatilities of 13 banking sector asset returns.


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