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This paper proposes structured parametrizations for multivariate volatility models, which use spatial weight matrices … models as well as for Stochastic- and Realized-Volatility models. The paper also discusses how to construct spatial weight …
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In many multivariate volatility models, the number of parameters increases faster than the cross-section dimension …
Persistent link: https://www.econbiz.de/10013095932
The management and monitoring of very large portfolios of financial assets are routine for many individuals and organizations. The two most widely used models of conditional covariances and correlations in the class of multivariate GARCH models are BEKK and DCC. It is well known that BEKK...
Persistent link: https://www.econbiz.de/10013148083
Dynamic Conditional Correlation (DCC) model by allowing for a clustering structure of the univariate GARCH parameters. The … model can be estimated in two steps, the first devoted to the clustering structure, and the second focusing on correlation …
Persistent link: https://www.econbiz.de/10013125314
In this note we provide the analytical gradient of the full model likelihood of the DCC specification of Engle (2002), the generalized version of Cappiello et al. (2006), and of the cDCC model of Aielli (2008)
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The simultaneous occurrence of jumps in several stocks can be associated with major financial news, triggers short-term predictability in stock returns, is correlated with sudden spikes of the variance risk premium, and determines a persistent increase (decrease) of stock variances and...
Persistent link: https://www.econbiz.de/10011544772