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promising class of models are the hierarchical Archimedean copulae (HAC) that allow for non-exchangeable and non … for stock indices the copula parameter changes dynam- ically but the hierarchical structure is constant over time …
Persistent link: https://www.econbiz.de/10010270704
This paper make an overview of the copula theory from a practical side. We consider different methods of copula … Gaussian copulae but also Hierarchical Archimedean Copulae. Afterwards we provide an empirical part to support the theory. …
Persistent link: https://www.econbiz.de/10010270716
. Nevertheless it is not very often consistent with the real data. Copulae allows for an extension of the classical time series … models to nonelliptically distributed residuals. In this paper we apply different copulae to the calculation of the static … and dynamic Value-at-Risk of portfolio returns and Profit-and-Loss function. In our findings copula based multivariate …
Persistent link: https://www.econbiz.de/10010274191
. In order to describe such situations, copula-based models have been studied during the last year. In this paper, we …
Persistent link: https://www.econbiz.de/10010333211
We focus on changes in the multivariate distribution of index returns stemming purely from varying the return interval, assuming daily to quarterly returns. Whereas longtailedness is present in daily returns, we find that, in agreement with a well-established idea, univariate return...
Persistent link: https://www.econbiz.de/10005112865
A semiparametric method is developed for estimating the dependence parameter and the joint distribution of the error term in the multivariate linear regression model. The nonparametric part of the method treats the marginal distributions of the error term as unknown, and estimates them by...
Persistent link: https://www.econbiz.de/10005125276
copula. Our developments and proofs make use of, and build upon, recent elegant results of Koul and Ling (2006) and Koul …
Persistent link: https://www.econbiz.de/10005149050
modeled using a particular parametric copula. Nonparametric copulas do not share this problem since they are entirely data … based. This paper proposes nonparametric estimation of the density copula for α-mixing data using Bernstein polynomials. We … study the asymptotic properties of the Bernstein density copula, i.e., we provide the exact asymptotic bias and variance, we …
Persistent link: https://www.econbiz.de/10005043150
With hedge funds, managers develop risk management models that mainly aim to play on the effect of decorrelation. In order to achieve this goal , companies use the correlation coefficient as an indicator for measuring dependencies existing between (i) the various hedge funds strategies and share...
Persistent link: https://www.econbiz.de/10005051488
In this paper we estimate density functions for positive multivariate data. We propose a semiparametric approach. The estimator combines gamma kernels or local linear kernels, also called boundary kernels, for the estimation of the marginal densities with semiparametric copulas to model the...
Persistent link: https://www.econbiz.de/10005015255