GÓRECKI, Jan, Hofert MARIUS a Okhrin OSTAP. Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation. Computational Statistics & Data Analysis. 2021, roč. 2021, č. 155, s. 1-28. ISSN 0167-9473. Dostupné z: https://dx.doi.org/10.1016/j.csda.2020.107109.
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Základní údaje
Originální název Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation
Autoři GÓRECKI, Jan (203 Česká republika, garant, domácí), Hofert MARIUS (124 Kanada) a Okhrin OSTAP (276 Německo).
Vydání Computational Statistics & Data Analysis, 2021, 0167-9473.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 10201 Computer sciences, information science, bioinformatics
Stát vydavatele Nizozemské království
Utajení není předmětem státního či obchodního tajemství
WWW Plný text výsledku
Kód RIV RIV/47813059:19520/21:A0000251
Organizační jednotka Obchodně podnikatelská fakulta v Karviné
Doi http://dx.doi.org/10.1016/j.csda.2020.107109
UT WoS 000609164800010
Klíčová slova anglicky Archimedean generator; Outer power transformation; Sampling; Estimation;Tail dependence coefficients; Value at risk
Štítky impakt
Změnil Změnila: Miroslava Snopková, učo 43819. Změněno: 12. 4. 2022 13:02.
Anotace
Outer power (OP) transformations of Archimedean generators are suggested to increase the modeling flexibility and statistical fitting capabilities of classical Archimedean copulas restricted to a single parameter. For OP-transformed Archimedean copulas, a formula for computing tail dependence coefficients is obtained, as well as two feasible OP Archimedean copula estimators are proposed and their properties studied by simulation. For hierarchical extensions of OP-transformed Archimedean copulas under the sufficient nesting condition, a new construction principle, efficient sampling and parameter estimation for models based on a single one-parameter Archimedean family are addressed. Special attention is paid to the case where the sufficient nesting condition simplifies to two types of restrictions on the corresponding parameters. By simulation, the convergence rate and standard errors of the proposed estimator are studied. Excellent tail fitting capabilities of OP-transformed hierarchical Archimedean copula models are demonstrated in a risk management application. The results show that the OP transformation is able to improve the statistical fit of exchangeable Archimedean copulas, particularly of those that cannot capture upper tail dependence or strong concordance, as well as the statistical fit of hierarchical Archimedean copulas, especially in terms of tail dependence and higher dimensions. Given how comparably simple it is to include OP transformations into existing exchangeable and hierarchical Archimedean copula models, OP transformations provide an attractive trade-off between computational effort and statistical improvement.
VytisknoutZobrazeno: 30. 5. 2024 06:39