Nonparametric estimation of the tail-dependence coefficient
| Main Author: | |
|---|---|
| Publication Date: | 2013 |
| Format: | Article |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/1822/27448 |
Summary: | A common measure of tail dependence is the so-called tail-dependence coefficient. We present a nonparametric estimator of the tail-dependence coefficient and prove its strong consistency and asymptotic normality in the case of known marginal distribution functions. The finite-sample behavior as well as robustness will be assessed through simulation. Although it has a good performance, it is sensitive to the extreme value dependence assumption. We shall see that a block maxima procedure might improve the estimation. This will be illustrated through simulation. An application to financial data shall be presented at the end. |
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Nonparametric estimation of the tail-dependence coefficientExtreme value theoryStable tail dependence functionTail-dependence coefficientScience & TechnologyA common measure of tail dependence is the so-called tail-dependence coefficient. We present a nonparametric estimator of the tail-dependence coefficient and prove its strong consistency and asymptotic normality in the case of known marginal distribution functions. The finite-sample behavior as well as robustness will be assessed through simulation. Although it has a good performance, it is sensitive to the extreme value dependence assumption. We shall see that a block maxima procedure might improve the estimation. This will be illustrated through simulation. An application to financial data shall be presented at the end.Este trabalho é financiado por Fundos FEDER através do Programa Operacional Factores de Competitividade - COMPETE e por Fundos Nacionais através da FCT - Fundação para a Ciência e a Tecnologia no âmbito do projecto PEst-C/MAT/UI0013/2011.Instituto Nacional de Estatística (INE)Universidade do MinhoFerreira, Marta Susana20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/27448eng1645-6726http://www.ine.pt/revstat/pdf/rs130101.pdfinfo: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:RCAAP2024-05-11T07:03:24Zoai:repositorium.sdum.uminho.pt:1822/27448Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T16:13:53.684372Repositórios 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 |
Nonparametric estimation of the tail-dependence coefficient |
| title |
Nonparametric estimation of the tail-dependence coefficient |
| spellingShingle |
Nonparametric estimation of the tail-dependence coefficient Ferreira, Marta Susana Extreme value theory Stable tail dependence function Tail-dependence coefficient Science & Technology |
| title_short |
Nonparametric estimation of the tail-dependence coefficient |
| title_full |
Nonparametric estimation of the tail-dependence coefficient |
| title_fullStr |
Nonparametric estimation of the tail-dependence coefficient |
| title_full_unstemmed |
Nonparametric estimation of the tail-dependence coefficient |
| title_sort |
Nonparametric estimation of the tail-dependence coefficient |
| 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 |
Extreme value theory Stable tail dependence function Tail-dependence coefficient Science & Technology |
| topic |
Extreme value theory Stable tail dependence function Tail-dependence coefficient Science & Technology |
| description |
A common measure of tail dependence is the so-called tail-dependence coefficient. We present a nonparametric estimator of the tail-dependence coefficient and prove its strong consistency and asymptotic normality in the case of known marginal distribution functions. The finite-sample behavior as well as robustness will be assessed through simulation. Although it has a good performance, it is sensitive to the extreme value dependence assumption. We shall see that a block maxima procedure might improve the estimation. This will be illustrated through simulation. An application to financial data shall be presented at the end. |
| publishDate |
2013 |
| dc.date.none.fl_str_mv |
2013 2013-01-01T00:00:00Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
| format |
article |
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publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/27448 |
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http://hdl.handle.net/1822/27448 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
1645-6726 http://www.ine.pt/revstat/pdf/rs130101.pdf |
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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 |
Instituto Nacional de Estatística (INE) |
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Instituto Nacional de Estatística (INE) |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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