The paper addresses the problem of forecasting realized volatility in the context of HAR-type models. Some extensions of the basic HAR-RV model are discussed. The forecasting performance of the considerec HAR-type models are compared in terms of suitable loss functions, by using the Model Confidence Set procedure, on two real datasets.

HAR-type Models for Volatility Forecasting: An Empirical Investigation

Albano Giuseppina
Membro del Collaboration Group
;
2020-01-01

Abstract

The paper addresses the problem of forecasting realized volatility in the context of HAR-type models. Some extensions of the basic HAR-RV model are discussed. The forecasting performance of the considerec HAR-type models are compared in terms of suitable loss functions, by using the Model Confidence Set procedure, on two real datasets.
2020
978-3-030-45092-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4737604
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