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  • Search: subject:"multivariate extreme values"
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Year of publication
Subject
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multivariate extreme values 8 stable tail dependence function 8 decomposition of tail dependence 6 subsample bootstrap 6 tail correlation 6 Ausreißer 4 Multivariate Verteilung 4 Multivariate distribution 4 Outliers 4 Risikomaß 4 Risk measure 4 Statistical distribution 4 Statistische Verteilung 4 Estimation theory 3 Schätztheorie 3 ARMA-GARCH filtering 2 Asymptotic dependence 2 Asymptotic independence 2 Bootstrap approach 2 Bootstrap-Verfahren 2 Copula 2 Correlation 2 Korrelation 2 Multivariate Analyse 2 Multivariate analysis 2 Multivariate extreme values 2 Probability theory 2 Wahrscheinlichkeitsrechnung 2 decomposition of multivariate tail dependence 2 extreme dependence modeling 2 Portfolio selection 1 Portfolio-Management 1 Theorie 1 Theory 1 Time series analysis 1 Zeitreihenanalyse 1
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Online availability
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Free 10
Type of publication
All
Book / Working Paper 10
Type of publication (narrower categories)
All
Working Paper 8 Arbeitspapier 4 Graue Literatur 4 Non-commercial literature 4
Language
All
English 8 Undetermined 2
Author
All
Bormann, Carsten 8 Schaumburg, Julia 8 Schienle, Melanie 8 Hilal, Sawson 2 Poon, Ser-Huang 2 Tawn, Jonathan 2
Institution
All
Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 1 Tinbergen Instituut 1
Published in...
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Discussion paper / Tinbergen Institute 1 KIT Working Paper Series in Economics 1 Manchester Business School Working Paper 1 SFB 649 Discussion Paper 1 SFB 649 Discussion Papers 1 SFB 649 discussion paper 1 Tinbergen Institute Discussion Paper 1 Tinbergen Institute Discussion Papers 1 Working paper series in economics 1 Working papers series / Manchester Business School 1
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Source
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ECONIS (ZBW) 4 EconStor 4 RePEc 2
Showing 1 - 10 of 10
Cover Image
Beyond dimension two: A test for higher-order tail risk
Bormann, Carsten; Schaumburg, Julia; Schienle, Melanie - 2016
In practice, multivariate dependencies between extreme risks are often only assessed in a pairwise way. We propose a test for detecting situations when such pairwise measures are inadequate and give incomplete results. This occurs when a significant portion of the multivariate dependence...
Persistent link: https://www.econbiz.de/10011414987
Saved in:
Cover Image
Beyond dimension two : a test for higher-order tail risk
Bormann, Carsten; Schaumburg, Julia; Schienle, Melanie - 2016
In practice, multivariate dependencies between extreme risks are often only assessed in a pairwise way. We propose a test for detecting situations when such pairwise measures are inadequate and give incomplete results. This occurs when a significant portion of the multivariate dependence...
Persistent link: https://www.econbiz.de/10011414706
Saved in:
Cover Image
A Test for the Portion of Bivariate Dependence in Multivariate Tail Risk
Bormann, Carsten; Schienle, Melanie; Schaumburg, Julia - 2014
In practice, multivariate dependencies between extreme risks are often only assessed in a pairwise way. We propose a test to detect when tail dependence is truly high-dimensional and bivariate simplifications would produce misleading results. This occurs when a significant portion of the...
Persistent link: https://www.econbiz.de/10010377208
Saved in:
Cover Image
Beyond dimension two: A test for higher-order tail risk
Bormann, Carsten; Schienle, Melanie; Schaumburg, Julia - 2014
In practice, multivariate dependencies between extreme risks are often only assessed in a pairwise way. We propose a test to detect when tail dependence is truly high{dimensional and bivariate simpli cations would produce misleading results. This occurs when a signi cant portion of the...
Persistent link: https://www.econbiz.de/10010427063
Saved in:
Cover Image
Beyond dimension two: A test for higher-order tail risk
Bormann, Carsten; Schienle, Melanie; Schaumburg, Julia - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2014
In practice, multivariate dependencies between extreme risks are often only assessed in a pairwise way. We propose a test to detect when tail dependence is truly high{dimensional and bivariate simplications would produce misleading results. This occurs when a signicant portion of the...
Persistent link: https://www.econbiz.de/10010895351
Saved in:
Cover Image
A Test for the Portion of Bivariate Dependence in Multivariate Tail Risk
Bormann, Carsten; Schienle, Melanie; Schaumburg, Julia - Tinbergen Instituut - 2014
In practice, multivariate dependencies between extreme risks are often only assessed in a pairwise way. We propose a test to detect when tail dependence is truly high-dimensional and bivariate simplifications would produce misleading results. This occurs when a significant portion of the...
Persistent link: https://www.econbiz.de/10011255546
Saved in:
Cover Image
A test for the portion of bivariate dependence in multivariate tail risk
Bormann, Carsten; Schienle, Melanie; Schaumburg, Julia - 2014
In practice, multivariate dependencies of extreme risks are often only assessed in a pairwise way. We propose a novel test to detect when bivariate simplifications produce misleading results. This occurs when a significant portion of the multivariate dependence structure in the tails is of...
Persistent link: https://www.econbiz.de/10010246746
Saved in:
Cover Image
Beyond dimension two : a test for higher-order tail risk
Bormann, Carsten; Schienle, Melanie; Schaumburg, Julia - 2014
In practice, multivariate dependencies between extreme risks are often only assessed in a pairwise way. We propose a test to detect when tail dependence is truly high{dimensional and bivariate simplifications would produce misleading results. This occurs when a significant portion of the...
Persistent link: https://www.econbiz.de/10010402973
Saved in:
Cover Image
Managing portfolio risk using multivariate extreme value methods
Hilal, Sawson; Poon, Ser-Huang; Tawn, Jonathan - 2013
This paper provides a strategy for portfolio risk management by inferring extreme movements in financial markets. The core of the provided strategy is a statistical model for the joint tail distribution that attempts to capture accurately the data generating process through an extremal modelling...
Persistent link: https://www.econbiz.de/10010409432
Saved in:
Cover Image
Managing portfolio risk using multivariate extreme value methods
Hilal, Sawson; Poon, Ser-Huang; Tawn, Jonathan - 2013
This paper provides a strategy for portfolio risk management by inferring extreme movements in financial markets. The core of the provided strategy is a statistical model for the joint tail distribution that attempts to capture accurately the data generating process through an extremal modelling...
Persistent link: https://www.econbiz.de/10010206955
Saved in:
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