Showing 1 - 10 of 13,474
generated via Clayton, Gumbel and Student's t copulas (with tail dependence) are all geometric ergodic. We then propose a sieve … models are characterized by nonparametric invariant distributions and parametric copula functions; where the copulas capture … all scale-free temporal dependence and tail dependence of the processes. The Markov models generated via tail dependent …
Persistent link: https://www.econbiz.de/10010288444
some temporal dependence properties. We then present penalized sieve extremum (PSE) estimation as a general method for semi …
Persistent link: https://www.econbiz.de/10010288336
There is increasing demand for models of time-varying and non-Gaussian dependencies for mul- tivariate time-series. Available models suffer from the curse of dimensionality or restrictive assumptions on the parameters and the distribution. A promising class of models are the hierarchical...
Persistent link: https://www.econbiz.de/10010270704
assets in the collateral pool. The dependence between the names in the portfolio mainly depends on current economic … conditions. Therefore, a correlation implied from tranches can be seen as a measure of the general health of the credit market …
Persistent link: https://www.econbiz.de/10010318769
This paper uses a frequency domain approach to gain insight into the correlation between survey indicators and year … of the correlation between survey indicators and year-on-year GDP growth at the different frequencies to explain their … overall correlation. We show that survey indicators, similar to year-on-year GDP growth, do not perfectly reflect business …
Persistent link: https://www.econbiz.de/10011506652
We investigate the possibility of exploiting partial correlation graphs for identifying interpretable latent variables … underlying a multivariate time series. It is shown how the collapsibility and separation properties of partial correlation graphs …
Persistent link: https://www.econbiz.de/10010306285
varying levels of average correlation and tail dependence coefficients. …We solve for the optimal portfolio allocation in a setting where both conditional correlation and theclustering of … extreme events are considered. We demonstrate that there is a substantial welfare loss indisregarding tail dependence, even …
Persistent link: https://www.econbiz.de/10010326016
We propose a new class of observation driven time series models referred to as Generalized Autoregressive Score (GAS) models. The driving mechanism of the GAS model is the scaled score of the likelihood function. This approach provides a unified and consistent framework for introducing...
Persistent link: https://www.econbiz.de/10010325732
Understanding the dynamics of high dimensional non-normal dependency structure is a challenging task. This research aims at attacking this problem by building up a hidden Markov model (HMM) for Hierarchical Archimedean Copulae (HAC), where the HAC represent a wide class of models for high...
Persistent link: https://www.econbiz.de/10010281541
that a proper copula (so-called WPM copula) results. In this case, we also derive dependence properties of WPM copulas and …It is well known that the arithmetic mean of two possibly different copulas forms a copula, again. More general, we … focus on the weighted power mean (WPM) of two arbitrary copulas which is not necessary a copula again, as different …
Persistent link: https://www.econbiz.de/10010306946