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.File in questo prodotto:
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