Dynamic Copula
Pricing bivariate option under GARCH-GH model with dynamic copula: application for Chinese market
... t copula with time-varying parameter, and according to two NIG margin distributions, log-return innovations can be sampled to compute the price of the ...proposed dynamic copula method with ...
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Pricing bivariate option under GARCH-GH model with dynamic copula : application for Chinese market
... the copula can be observed and the change trend displays more and more ...the dynamic copula with time-varying parameter is expressed similarly as in Dias and Embrechts (2003), Jondeau and Rockinger ...
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Dynamic copula-based Markov chains at work: Theory, testing and performance in modeling daily stock returns
... namic copula parameters is ...our copula-based Markov model and we test whether there is still some dynamics in the dependence ...a copula may now help in modeling the ltered GARCH(1,1)-residuals is ...
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Dependence in Credit Default Swap and Equity Markets: Dynamic Copula with Markov Switching
... Gumbel copula, irrespective of whether the formulation is purely static, RS static, ARMA, or ...Gumbel copula are more conservative ...t copula; the empirical coverage of the Gumbel-based VaRs are ...
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Change analysis of dynamic copula for measuring dependence in multivariate financial data
... the copula. If the copula changes, we adjust a set of copulas to model the dynamics of the data ...the copula robustly, we propose a series of nested tests based on conditional copulas, Ander- son ...
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A dynamic copula approach to recovering the index implied volatility skew
... the copula shape parameter as a free variable to search for the best fit, nearly all goodness of fit measures drop by around 30%, but there still remains some degree of steepness in the basket skew which cannot be ...
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Liquidity tail risk and credit default swap spreads
... In this study, we try to answer the question whether liquidity tail risk is a significant driver of CDS spreads. We define a firm’s CDS contract’s liquidity tail risk as the propensity of the contract to experience a ...
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Energy Markets and CO2 Emissions: Analysis by Stochastic Copula Autoregressive Model
... of dynamic copula, the Stochastic Au- toregressive Copulas (SCAR), a time varying copula that was first introduced by Hafner and Manner (2008) [1] in which the parameter driving the dynamics of the ...
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FINANCE RESEARCH SEMINAR SUPPORTED BY UNIGESTION
... genuinely dynamic copula techniques that can capture univariate and multivariate deviations from normality, including multivariate ...apply copula models on a large scale that is essential for ...
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Modeling Dependence Structure and Forecasting Market Risk with Dynamic Asymmetric Copula
... Creal et al. (2013) propose a class of Generalized Autoregressive Score (GAS) models, which use the scaled score of a likelihood function to update the parameters over time. The GAS model is a consistent and unified ...
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Dynamic Diversification in Corporate Credit. Peter Christoffersen, Kris Jacobs, Xisong Jin and Hugues Langlois. CREATES Research Paper
... genuinely dynamic copula techniques that can capture univariate and multivariate deviations from normality, including multivariate ...apply copula models on a large scale that is essential for ...
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Dynamic stochastic copula models: Estimation, inference and applications
... new dynamic copula model where the parameter characterizing dependence follows an autoregressive ...Gaussian copula with stochastic correlation process, it can be viewed as a gen- eralization of ...
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MODELING HIGH DIMENSIONAL ASSET PRICING RETURNS USING A DYNAMIC SKEWED COPULA MODEL
... Two conclusions can be drawn from Table 2. First, the results of the Kolmogorov– Smirnov test indicate that the marginal models are correctly specified. This ensures the consistency of copula estimates in the ...
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Copula Theory and Regression Analysis
... Comparison- copula with OLS and ...study copula regression as an alternative method to OLS and ...a copula regression is that there are no restrictions on the probability distributions that can be ...
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Testing independence based on Bernstein empirical copula and copula density.
... Student copula with Kendall’s tau equal to 0 and degree of freedom equal to 2, the power of the test which is based on the empirical copula is ...empirical copula-based test is not able to detect ...
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Efficient Estimation of Copula-based Semiparametric Markov Models
... of copula-based semiparametric strictly stationary Markov ...bivariate copula functions; where the copulas capture tem- poral dependence and tail dependence of the ...the copula parameter, the ...
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Applications of Vine Copulas in Commodity Risk Management and Price Analysis
... D-vine copula models provide good out-of-sample hedging effectiveness across all hedging objectives, and the D-vine copula model is superior to the C-vine copula ...vine copula models to that ...
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Convergence of Archimedean Copulas
... Convergence of a sequence of bivariate Archimedean copulas to another Archime- dean copula or to the comonotone copula is shown to be equivalent with convergence of the corresponding sequence of Kendall ...
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CAS: Copula Regression
... In this paper, we have provided an alternative approach to generalizing OLS regression using a multivariate copula. When compared to GLM, the approach seems to be different rather than better or worse. Its ...
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Copula methods in econometrics
... Gaussian copula results, we see the correlation between DM (Euro)/USD and GBP was almost the same as in previous peri- ...constant copula reveals again a significant (at 5%) asymmetry in the tail, where ...
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