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Copula Models/Evidence
Method evidence record

Copula Models

Copula models are a family of functions that describe the dependence structure between variables separately from their individual (marginal) distributions. The foundation is Sklar's theorem (1959), which shows that any multivariate distribution can be split into its marginals plus a copula; Joe (1997) developed the modern catalogue of dependence concepts. They are central to portfolio risk and credit modelling.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Copula Models (Gaussian, t, Clayton, Gumbel, Frank)
Taxonomic method record · regression-model / finance
  • Sklar, A. (1959). Fonctions de répartition à n dimensions et leurs marges. Publications de l'Institut Statistique de l'Université de Paris, 8, 229-231. · URL
  • Joe, H. (1997). Multivariate Models and Dependence Concepts. Chapman & Hall. · ISBN 978-0412073311
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Curated claims

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyExtreme Value Theorymachine-suggested · Relational suggestion, not evidence.Same method familyGARCHmachine-suggested · Relational suggestion, not evidence.Same method familyJohansen Cointegration Testmachine-suggested · Relational suggestion, not evidence.See alsoPearson Correlationmachine-suggested · Relational suggestion, not evidence.Same method familyValue at Riskmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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