Assessing asymptotic tail independence: a simulation study †
Main Author: | |
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Publication Date: | 2024 |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/1822/95295 |
Summary: | The occurrence of extreme values in one variable can trigger the same in other variables, making it necessary to assess the risk of contagion. The usual dependence measures based on the central part of the data typically fail to assess extreme dependence. Within the scope of EVT, tail dependence measures were developed, such as the Ledford and Tawn coefficient that we discuss here. This is a measure of residual dependence that is particularly important when it comes to analyzing at the tail level where data are scarce. We will consider different estimation methodologies and compare them based on a simulation study. We finish with an application to real data. |
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Assessing asymptotic tail independence: a simulation study †coefficient of asymptotic tail independenceextreme value theorytail dependenceCiências Naturais::MatemáticasThe occurrence of extreme values in one variable can trigger the same in other variables, making it necessary to assess the risk of contagion. The usual dependence measures based on the central part of the data typically fail to assess extreme dependence. Within the scope of EVT, tail dependence measures were developed, such as the Ledford and Tawn coefficient that we discuss here. This is a measure of residual dependence that is particularly important when it comes to analyzing at the tail level where data are scarce. We will consider different estimation methodologies and compare them based on a simulation study. We finish with an application to real data.The research of the author was partially financed by Portuguese Funds through FCT (Fundação para a Ciência e a Tecnologia) within the Projects UIDB/00013/2020 and UIDP/00013/2020.MDPIUniversidade do MinhoFerreira, Marta Susana20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/95295engFerreira, M. (2024). Assessing Asymptotic Tail Independence: A Simulation Study. Engineering Proceedings, 68(1), 52. https://doi.org/10.3390/engproc20240680522673-459110.3390/engproc2024068052https://www.mdpi.com/2673-4591/68/1/52info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-12T05:29:36Zoai:repositorium.sdum.uminho.pt:1822/95295Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:24:48.191529Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Assessing asymptotic tail independence: a simulation study † |
title |
Assessing asymptotic tail independence: a simulation study † |
spellingShingle |
Assessing asymptotic tail independence: a simulation study † Ferreira, Marta Susana coefficient of asymptotic tail independence extreme value theory tail dependence Ciências Naturais::Matemáticas |
title_short |
Assessing asymptotic tail independence: a simulation study † |
title_full |
Assessing asymptotic tail independence: a simulation study † |
title_fullStr |
Assessing asymptotic tail independence: a simulation study † |
title_full_unstemmed |
Assessing asymptotic tail independence: a simulation study † |
title_sort |
Assessing asymptotic tail independence: a simulation study † |
author |
Ferreira, Marta Susana |
author_facet |
Ferreira, Marta Susana |
author_role |
author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Ferreira, Marta Susana |
dc.subject.por.fl_str_mv |
coefficient of asymptotic tail independence extreme value theory tail dependence Ciências Naturais::Matemáticas |
topic |
coefficient of asymptotic tail independence extreme value theory tail dependence Ciências Naturais::Matemáticas |
description |
The occurrence of extreme values in one variable can trigger the same in other variables, making it necessary to assess the risk of contagion. The usual dependence measures based on the central part of the data typically fail to assess extreme dependence. Within the scope of EVT, tail dependence measures were developed, such as the Ledford and Tawn coefficient that we discuss here. This is a measure of residual dependence that is particularly important when it comes to analyzing at the tail level where data are scarce. We will consider different estimation methodologies and compare them based on a simulation study. We finish with an application to real data. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024 2024-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/95295 |
url |
https://hdl.handle.net/1822/95295 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ferreira, M. (2024). Assessing Asymptotic Tail Independence: A Simulation Study. Engineering Proceedings, 68(1), 52. https://doi.org/10.3390/engproc2024068052 2673-4591 10.3390/engproc2024068052 https://www.mdpi.com/2673-4591/68/1/52 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
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