Frank copula is minimum information copula under fixed Kendall’s <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si4.svg" display="inline" id="d1e22"><mml:mi>τ</mml:mi></mml:math>

In this work, we demonstrate that the Frank copula is the minimum information copula under fixed Kendall’s τ (MICK), both theoretically and numerically. First, we explain that both MICK and the Frank density follow the hyperbolic Liouville equation. Subsequently, we show that the copula density satisfying the Liouville equation is uniquely the Frank copula. Our result asserts that selecting the Frank copula as an appropriate copula model is equivalent to using Kendall’s τ as the sole available information about the true distribution, based on the entropy maximization principle. • The minimum information copula under fixed Kendall’s τ is identical to the Frank copula. • Both of these two copulas follow the well-known hyperbolic Liouville equation. • This result can be confirmed both theoretically and numerically.

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Publication Details

Journal
Statistics & Probability Letters
Published
2024-10-28
DOI
https://doi.org/10.1016/j.spl.2024.110289
Citations
3
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
1.62

Funders

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article

Frank copula is minimum information copula under fixed Kendall’s <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si4.svg" display="inline" id="d1e22"><mml:mi>τ</mml:mi></mml:math>

Issey Sukeda, Tomonari Sei
3 citations
Statistics & Probability Letters
Financial Risk and Volatility Modeling
1.62
article

Frank copula is minimum information copula under fixed Kendall’s <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si4.svg" display="inline" id="d1e22"><mml:mi>τ</mml:mi></mml:math>

Issey Sukeda, Tomonari Sei
article en
3 citations

Abstract

In this work, we demonstrate that the Frank copula is the minimum information copula under fixed Kendall’s τ (MICK), both theoretically and numerically. First, we explain that both MICK and the Frank density follow the hyperbolic Liouville equation. Subsequently, we show that the copula density satisfying the Liouville equation is uniquely the Frank copula. Our result asserts that selecting the Frank copula as an appropriate copula model is equivalent to using Kendall’s τ as the sole available information about the true distribution, based on the entropy maximization principle. • The minimum information copula under fixed Kendall’s τ is identical to the Frank copula. • Both of these two copulas follow the well-known hyperbolic Liouville equation. • This result can be confirmed both theoretically and numerically.

Statistics & Probability LettersVol. 217
RIKEN Center for Brain Science (JP), The University of Tokyo (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 15%
Financial Risk and Volatility Modeling
1.62
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