XF-ZANNKKE-2
Research / Academic Paper ACTIVE

Copula Modeling: An Introduction for Practitioners

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Abstract

This article explores the copula approach for econometric modeling of joint parametric distributions. Although theoretical foundations of copulas are complex, this text demonstrates that practical implementation and estimation are relatively straightforward. An attractive feature of parametrically specified copulas is that estimation and inference are based on standard maximum likelihood procedures, and thus copulas can be estimated using desktop econometric software. This represents a substantial advantage of copulas over recently proposed simulation-based approaches to joint modeling.

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Document Metadata

Issuer
Emerald
Document Type
Research / Academic Paper
Publication Year
2007
Retrieved
5 May 2026
Source
doi.org
Record ID
XFZANNKKE2
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7c49ffea78cb99275bc46b1fe7b8287f0c70c2b5b70a6ade3a0464312867a2f3
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7c49ffea78cb99275bc46b1fe7b8287f0c70c2b5b70a6ade3a0464312867a2f3
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Topics

Factor ModelsMachine Learning

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Emerald (2007). Copula Modeling: An Introduction for Practitioners. XFID: XF-ZANNKKE-2. Retrieved from https://xframework.id/XFZANNKKE2
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XF-ZANNKKE-2