Copula Theory and Its Applications [electronic resource] : Proceedings of the Workshop Held in Warsaw, 25-26 September 2009 / edited by Piotr Jaworski, Fabrizio Durante, Wolfgang Karl H�rdle, Tomasz Rychlik.

Contributor(s): Jaworski, Piotr [editor.] | Durante, Fabrizio [editor.] | H�rdle, Wolfgang Karl [editor.] | Rychlik, Tomasz [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Statistics ; 198Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010Description: XVIII, 327 p. 25 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642124655Subject(s): Mathematics | Business | Management science | Business mathematics | Finance | Probabilities | Statistics | Mathematics | Probability Theory and Stochastic Processes | Finance, general | Business Mathematics | Statistical Theory and Methods | Statistics for Business/Economics/Mathematical Finance/Insurance | Business and Management, generalAdditional physical formats: Printed edition:: No titleDDC classification: 519.2 LOC classification: QA273.A1-274.9QA274-274.9Online resources: Click here to access online
Contents:
Surveys -- Copula Theory: An Introduction -- Dynamic Modeling of Dependence in Finance via Copulae Between Stochastic Processes -- Copula Estimation -- Pair-Copula Constructions of Multivariate Copulas -- Risk Aggregation -- Extreme-Value Copulas -- Construction and Sampling of Nested Archimedean Copulas -- Tail Behaviour of Copulas -- Copulae in Reliability Theory (Order Statistics, Coherent Systems) -- Copula-Based Measures of Multivariate Association -- Semi-copulas and Interpretations of Coincidences Between Stochastic Dependence and Ageing -- Contributed Papers -- A Copula-Based Model for Spatial and Temporal Dependence of Equity Markets -- Nonparametric and Semiparametric Bivariate Modeling of Petrophysical Porosity-Permeability Dependence from Well Log Data -- Testing Under the Extended Koziol-Green Model -- Parameter Estimation and Application of the Multivariate Skew t-Copula -- On Analytical Similarities of Archimedean and Exchangeable Marshall-Olkin Copulas -- Relationships Between Archimedean Copulas and Morgenstern Utility Functions.
In: Springer eBooksSummary: Copulas 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 gained considerable popularity in several fields of applied mathematics, such as finance, insurance and reliability theory. Today, they represent a well-recognized tool for market and credit models, aggregation of risks, portfolio selection, etc. This book is divided into two main parts: Part I - "Surveys" contains 11 chapters that provide an up-to-date account of essential aspects of copula models. Part II - "Contributions" collects the extended versions of 6 talks selected from papers presented at the workshop in Warsaw.
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Surveys -- Copula Theory: An Introduction -- Dynamic Modeling of Dependence in Finance via Copulae Between Stochastic Processes -- Copula Estimation -- Pair-Copula Constructions of Multivariate Copulas -- Risk Aggregation -- Extreme-Value Copulas -- Construction and Sampling of Nested Archimedean Copulas -- Tail Behaviour of Copulas -- Copulae in Reliability Theory (Order Statistics, Coherent Systems) -- Copula-Based Measures of Multivariate Association -- Semi-copulas and Interpretations of Coincidences Between Stochastic Dependence and Ageing -- Contributed Papers -- A Copula-Based Model for Spatial and Temporal Dependence of Equity Markets -- Nonparametric and Semiparametric Bivariate Modeling of Petrophysical Porosity-Permeability Dependence from Well Log Data -- Testing Under the Extended Koziol-Green Model -- Parameter Estimation and Application of the Multivariate Skew t-Copula -- On Analytical Similarities of Archimedean and Exchangeable Marshall-Olkin Copulas -- Relationships Between Archimedean Copulas and Morgenstern Utility Functions.

Copulas 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 gained considerable popularity in several fields of applied mathematics, such as finance, insurance and reliability theory. Today, they represent a well-recognized tool for market and credit models, aggregation of risks, portfolio selection, etc. This book is divided into two main parts: Part I - "Surveys" contains 11 chapters that provide an up-to-date account of essential aspects of copula models. Part II - "Contributions" collects the extended versions of 6 talks selected from papers presented at the workshop in Warsaw.

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