On a Family of Copulas Partially Coinciding with the Fréchet–Hoeffding Boundaries

Grubbs’s test statistics are studied, that is, absolute values of extreme studentized deviations of $$n$$ random observations from the mean. We consider the case when random observations have arbitrary continuous marginal distributions. The existence of two regions is proved; in one of them, the joint distribution function of these statistics is a linear function of their marginal distribution functions, and in the other, the joint distribution function is zero. We construct a Grubbs’s copula from the joint distribution of Grubbs’s statistics. For the case $$n > 3$$ , the existence of two domains within the unit square in which Grubbs’s copula coincides with the lower Fréchet–Hoeffding bound is proved. In the case of $$n = 3$$ , Grubbs’s copula is the Fréchet–Hoeffding lower bound. Grubbs’s copula rotated by 180° also partially coincides with the Fréchet–Hoeffding lower bound (in the case of $$n > 3$$ ) and is the Fréchet–Hoeffding lower bound (in the case of $$n = 3$$ ). We prove that Grubbs’s copulas rotated by 90° and 270° partially coincide with the Fréchet–Hoeffding upper bound (in the case of $$n > 3$$ ) and become the Fréchet–Hoeffding upper bound (in the case $$n = 3$$ ).

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Publication Details

Journal
Russian Mathematics
Published
2025-09-01
DOI
https://doi.org/10.3103/s1066369x25700720
Primary Topic
Financial Risk and Volatility Modeling
Type
article
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article

On a Family of Copulas Partially Coinciding with the Fréchet–Hoeffding Boundaries

L. K. Shiryaeva
Russian Mathematics
Financial Risk and Volatility Modeling
article

On a Family of Copulas Partially Coinciding with the Fréchet–Hoeffding Boundaries

L. K. Shiryaeva
article en

Abstract

Grubbs’s test statistics are studied, that is, absolute values of extreme studentized deviations of $$n$$ random observations from the mean. We consider the case when random observations have arbitrary continuous marginal distributions. The existence of two regions is proved; in one of them, the joint distribution function of these statistics is a linear function of their marginal distribution functions, and in the other, the joint distribution function is zero. We construct a Grubbs’s copula from the joint distribution of Grubbs’s statistics. For the case $$n > 3$$ , the existence of two domains within the unit square in which Grubbs’s copula coincides with the lower Fréchet–Hoeffding bound is proved. In the case of $$n = 3$$ , Grubbs’s copula is the Fréchet–Hoeffding lower bound. Grubbs’s copula rotated by 180° also partially coincides with the Fréchet–Hoeffding lower bound (in the case of $$n > 3$$ ) and is the Fréchet–Hoeffding lower bound (in the case of $$n = 3$$ ). We prove that Grubbs’s copulas rotated by 90° and 270° partially coincide with the Fréchet–Hoeffding upper bound (in the case of $$n > 3$$ ) and become the Fréchet–Hoeffding upper bound (in the case $$n = 3$$ ).

Russian MathematicsVol. 69(9)
Samara National Research University (RU)
Openalex Percentile: Top 24%
Financial Risk and Volatility Modeling
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