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We propose a novel multivariate GARCH model that incorporates realized measures for the variance matrix of returns. The key novelty is the joint formulation of a multivariate dynamic model for outer-products of returns, realized variances and realized covariances. The updating of the variance...
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This paper proposes a new class of multivariate volatility model that utilising high-frequency data. We call this model …
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in specific correlation dynamics. A strong implication emerges: during the period under research, and from a different …
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models. We show that HF-based predictions yield a significantly lower portfolio volatility than methods employing daily …
Persistent link: https://www.econbiz.de/10009714536
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allow these to differ from the correlation processes (namely, DCC-type models) are more beneficial than the models that …
Persistent link: https://www.econbiz.de/10014434629
this area are the specification tests related to the correlation component, the extension of the general model to allow for … additional correlation regimes, and a detailed exposition of the systematic, improved modelling cycle required for such nonlinear …
Persistent link: https://www.econbiz.de/10014281494
We introduce a new fractionally integrated model for covariance matrix dynamics based on the long-memory behavior of daily realized covariance matrix kernels and daily return observations. We account for fat tails in both types of data by appropriate distributional assumptions. The covariance...
Persistent link: https://www.econbiz.de/10011531139