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The concept of common factors has in the econometrics literature been applied to conditional means or in some cases to conditional variances. In this paper we generalize this concept to bivariate distributions. This is done using the conditional bivariate copula as the statistical tool. The...
Persistent link: https://www.econbiz.de/10001714617
In this paper we derive a parameter constancy test of a stationary vector autoregressive model against the hypothesis that the parameters of the model change smoothly over time. A single structural break is contained in this alternative hypothesis as a special case. The test is a generalization...
Persistent link: https://www.econbiz.de/10001693105
variance equation in multivariate GARCH models with explicit modelling of conditional correlation. These models include the … constant conditional correlation GARCH model of Bollerslev (1990) and its extensions. Under the new conditions, it is possible … conditions in practice. -- Multivariate GARCH ; positivity constraints ; conditional correlation …
Persistent link: https://www.econbiz.de/10003576679
A definition for a common factor for bivariate time series is suggested by considering the decomposition of the conditional density into the product of the marginals and the copula, with the conditioning variable being a common factor if it does not directly enter the copula. We show the links...
Persistent link: https://www.econbiz.de/10014073135
GARCH model, where the GARCH equations are time-varying. The alternative to constancy is that the correlations change …
Persistent link: https://www.econbiz.de/10013459316
This paper proposes a methodology for building Multivariate Time-Varying STCC-GARCH models. The novel contributions in …
Persistent link: https://www.econbiz.de/10014281494
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