Titlebook: Copula Theory and Its Applications; Proceedings of the W Piotr Jaworski,Fabrizio Durante,Tomasz Rychlik Conference proceedings 2010 Springe

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書目名稱Copula Theory and Its Applications影響因子(影響力)




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書目名稱Copula Theory and Its Applications讀者反饋




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Individual Lives and Social Histories,haviour of copulas like the ones based on conditional copulas or associated extreme value copulas. At the end we present possible applications of the notion of tail expansions to quantitative finance, especially to risk measurement.

遺傳學(xué)

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Risk Aggregationc examples of actuarial and financial interest. In particular, we study Risk Aggregation under different mathematical set-ups, for different aggregating functionals? and risk measures 〉 , focusing on Value-at-Risk. We show how the theory of Mass Transportations and tools originally developed to solv

做事過頭

Tail Behaviour of Copulashaviour of copulas like the ones based on conditional copulas or associated extreme value copulas. At the end we present possible applications of the notion of tail expansions to quantitative finance, especially to risk measurement.

做事過頭

Nonparametric and Semiparametric Bivariate Modeling of Petrophysical Porosity-Permeability Dependencefore, we explore the use of the Bernstein copula, and we also look for an appropriate partition of the data into subsets for which the dependence strucure was simpler to model, and then a conditional gluing copula technique is applied to build the bivariate joint distribution for the whole data set

邊緣

0930-0325 and its most important applications.An up-to-date account aCopulas are mathematical objects that fully capture the dependence structure among random variables and hence offer great flexibility in building multivariate stochastic models. Since their introduction in the early 50‘s, copulas have gaine

兇兆

https://doi.org/10.1007/978-1-4039-1914-4 theorem) is inadequate for consistent valuation and hedging in time. In this survey we present recent developments in the area of modeling of dependence between stochastic processes with given marginal laws. Some of these results have already been successfully applied in finance in connection with the portfolio credit risk.

Ancillary

Citizen Participation and Collaboration, Bayesian setting. This flexible class of multivariate copulas can be applied to model complex dependencies. Literature to applications in modeling financial data as well as Bayesian belief networks are provided. It closes with a section on open problems.