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A machine learning approach to volatility forecasting

Christensen, Kim; Siggaard, Mathias Voldum; Veliyev, … - 2021

Persistent link: https://www.econbiz.de/10012434010

Realized volatility forecasting : Robustness to measurement errors

Cipollini, Fabrizio; Gallo, Giampiero M.; Otranto, Edoardo - In: International journal of forecasting 37 (2021) 1, pp. 44-57

Persistent link: https://www.econbiz.de/10012692572

A dynamic conditional approach to forecasting portfolio weights

Cipollini, Fabrizio; Gallo, Giampiero M.; Palandri, … - In: International journal of forecasting 37 (2021) 3, pp. 1111-1126

Persistent link: https://www.econbiz.de/10012794818

A dynamic conditional approach to portfolio weights forecasting

Cipollini, Fabrizio; Gallo, Giampiero M.; Palandri, … - 2020 - This version: May 12, 2020

Persistent link: https://www.econbiz.de/10012418423

Measuring the effects of unconventional policies on stock market volatility

Lacava, Demetrio; Gallo, Giampiero M.; Otranto, Edoardo - 2020 - Prima edizione

Persistent link: https://www.econbiz.de/10012515678

Copula-based vMEM specifications versus alternatives : the case of trading activity

Cipollini, Fabrizio; Engle, Robert F.; Gallo, Giampiero M. - In: Econometrics : open access journal 5 (2017) 2, pp. 1-24

We discuss several multivariate extensions of the Multiplicative Error Model to take into account dynamic interdependence and contemporaneously correlated innovations (vector MEM or vMEM). We suggest copula functions to link Gamma marginals of the innovations, in a specification where past...

Persistent link: https://www.econbiz.de/10011654447

Smooth and abrupt dynamics in financial volatility : the MS-MEM-MIDAS

Scaffidi Domianello, Luca; Gallo, Giampiero M.; … - 2022 - Prima edizione

Persistent link: https://www.econbiz.de/10014261237