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  1. Eignung von Varianz-Kovarianz-Ansätzen und Copula-Modellen zur Risikoaggregation in bankaufsichtlichen Risikotragfähigkeitskonzepten
    Erschienen: 2018
    Verlag:  MA, Akademie Verlags- und Druck-Gesellschaft mbH, Essen

    Zugang:
    Resolving-System (kostenfrei)
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 797
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    Quelle: Verbundkataloge
    Sprache: Deutsch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783892754091
    Weitere Identifier:
    hdl: 10419/249980
    Schriftenreihe: ifes Schriftenreihe ; Band 17 (2018)
    Schlagworte: Kreditrisiko; Risikomanagement; Varianzanalyse; Multivariate Verteilung; Modellierung
    Umfang: 1 Online-Ressource (circa 112 Seiten), Illustrationen
  2. The pricing of correlated default risk
    evidence from the credit derivatives market
    Erschienen: 30 May 2008
    Verlag:  Deutsche Bundesbank, Frankfurt am Main

    order to analyze the pricing of portfolio credit risk as revealed by tranche spreads of a popular credit default swap (CDS) index we extract risk-neutral probabilities of default (PDs) and physical asset return correlations from single-name CDS... mehr

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    Universitätsbibliothek Osnabrück
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    order to analyze the pricing of portfolio credit risk as revealed by tranche spreads of a popular credit default swap (CDS) index we extract risk-neutral probabilities of default (PDs) and physical asset return correlations from single-name CDS spreads. The time profile and overall level of index spreads validate our PD measures. At the same time, the physical asset return correlations are too low to account for the spreads of index tranches and, thus, point to a large correlation risk premium. This premium, which covaries negatively with current realized correlations and positively with future realized correlations, sheds light on market perceptions of and attitude towards correlation risk.

     

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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783865584090
    Schriftenreihe: Array ; 2008,09
    Schlagworte: Kreditderivat; Derivat; Börsenkurs; Kreditrisiko; Portfolio-Management; Risikoprämie; Korrelation; Multivariate Verteilung; Theorie; USA
    Umfang: Online-Ressource, 40 S. = 592 KB, Text, graph. Darst.
    Bemerkung(en):

    Zsfassungen in dt. und engl. Sprache

  3. Out-of-sample comparison of copula specifications in multivariate density forecasts
    Erschienen: 2008
    Verlag:  School of Economics, Australian School of Economics, the Univ. of New South Wales, Kensington, NSW

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    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9780733427138
    Schriftenreihe: School of Economics discussion paper / School of Economics, the University of New South Wales ; 2008,23
    Schlagworte: Multivariate Verteilung; Prognoseverfahren; Nichtparametrisches Verfahren; Zeitreihenanalyse; Modellierung; Theorie
    Umfang: Online-Ressource (S.), graph. Darst.
  4. A hierarchical Archimedean copula for portfolio credit risk modelling
    Erschienen: 2011
    Verlag:  Deutsche Bundesbank, Frankfurt am Main

    I introduce a novel, hierarchical model of tail dependent asset returns which can be particularly useful for measuring portfolio credit risk within the structural framework. To allow for a stronger dependence within sub-portfolios than between them,... mehr

    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 27 (2011,14)
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    Universitätsbibliothek Osnabrück
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    I introduce a novel, hierarchical model of tail dependent asset returns which can be particularly useful for measuring portfolio credit risk within the structural framework. To allow for a stronger dependence within sub-portfolios than between them, I utilise the concept of nested Archimedean copulas, but modify the nesting procedure to ensure the compatibility of copula generators by construction. This makes sampling straightforward. Moreover, I provide details on a particular specification based on a gamma mixture of powers. This model allows for lower tail dependence, resulting in a more conservative credit risk assessment than a comparable Gaussian model. I illustrate the extent of model risk when calculating VaR or Expected Shortfall for a credit portfolio. -- Portfolio Credit Risk ; Nested Archimedean Copula ; Tail Dependence ; Hierarchical Dependence Structure

     

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    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783865587558
    Weitere Identifier:
    hdl: 10419/52132
    Schriftenreihe: Array ; 14/2011
    Schlagworte: Kreditrisiko; Portfolio-Management; Multivariate Verteilung; Theorie
    Umfang: Online-Ressource (PDF-Datei: 31, [5] S., 414 KB), graph. Darst.
    Bemerkung(en):

    Zsfassung in dt. Sprache

  5. A hierarchical model of tail dependent asset returns for assessing portfolio credit risk
    Erschienen: 2011
    Verlag:  Deutsche Bundesbank, Frankfurt am Main

    This paper introduces a multivariate pure-jump Lévy process which allows for skewness and excess kurtosis of single asset returns and for asymptotic tail dependence in the multivariate setting. It is termed Variance Compound Gamma (VCG). The novelty... mehr

    Staats- und Universitätsbibliothek Bremen
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 27 (2011,16)
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    Universitätsbibliothek Osnabrück
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    This paper introduces a multivariate pure-jump Lévy process which allows for skewness and excess kurtosis of single asset returns and for asymptotic tail dependence in the multivariate setting. It is termed Variance Compound Gamma (VCG). The novelty of my approach is that, by applying a two-stage stochastic time change to Brownian motions, I derive a hierarchical structure with different properties of inter- and intra-sector dependence. I investigate the properties of the implied static copula families and come to the conclusion that they are ordered with respect to their parameters and that the lower-tail dependence of the intra-sector copula is increasing in the absolute values of skewness parameters. Furthermore, I show that the joint characteristic function of the VCG asset returns can be explicitly given as a nested Archimedean copula of their marginal characteristic functions. Applied to credit portfolio modelling, the framework introduced results in a more conservative tail risk assessment than a Gaussian framework with the same linear correlation structure, as I show in a simulation study. To foster the simulation efficiency, I provide an Importance Sampling algorithm for the VCG portfolio setting. -- Portfolio Credit Risk ; Stochastic Time Change ; Brownian Subordination ; Jumps ; Tail Dependence ; Hierarchical Dependence Structure

     

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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783865587831
    Weitere Identifier:
    hdl: 10419/57784
    Schriftenreihe: Array ; 16/2011
    Schlagworte: Portfolio-Management; Kreditrisiko; Kapitaleinkommen; Stochastischer Prozess; Multivariate Verteilung; Theorie
    Umfang: Online-Ressource (PDF-Datei: 47, [5] S., 693 KB), graph. Darst.
    Bemerkung(en):

    Zsfassung in dt. Sprache

  6. Conditional forecasting with DSGE models
    a conditional copula approach
    Erschienen: 2017
    Verlag:  Norges Bank, Oslo

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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9788275539708
    Weitere Identifier:
    hdl: 10419/210114
    Schriftenreihe: Working paper / Norges Bank ; 2017, 4
    Schlagworte: Prognoseverfahren; DSGE-Modell; Multivariate Verteilung
    Umfang: 1 Online-Ressource (circa 30 Seiten), Illustrationen