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Dynamic Copulas for Finance : An Application to Portfolio Risk Calculation - Valentin Braun
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Dynamic Copulas for Finance : An Application to Portfolio Risk Calculation - Livres de poche

ISBN: 3844100407

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Dynamic Copulas for Finance : An Application to Portfolio Risk Calculation - Livres de poche

ISBN: 3844100407

[EAN: 9783844100402], Neubuch, [PU: Josef Eul Verlag Gmbh], Druck auf Anfrage Neuware - The interactions of financial securities are crucial to determine possible portfolio losses. Althou… Plus…

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Braun, Valentin:
Dynamic Copulas for Finance - Livres de poche

2011, ISBN: 9783844100402

Erscheinungsdatum: 05/2011, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Dynamic Copulas for Finance, Titelzusatz: An Application to Portfolio Risk Calculation, Autor: Br… Plus…

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ISBN: 9783844100402

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Détails sur le livre
Dynamic Copulas for Finance

The interactions of financial securities are crucial to determine possible portfolio losses. Although this fact is well understood, two questions remain: What causes changes in the dependence structure of financial assets? How can fluctuating dependencies be measured? The most common approach to identify the amplitude of financial assets' interactions are linear correlation coefficients. However, they fail to comprise shifts in the dependence structure. Alternatively, Copulas are a more flexible dependence measurement. This book focuses on the development of Dynamic Copula frameworks by implementing stochastic parameters into Archimedian and Elliptical Copula functions. In contrast to static correlation measures, the Dynamic Copulas are able to replicate unstable financial market interactions.Various Dynamic Copulas are applied to global stock, bond, commodity and exchange rate data to calculate the correlation time paths, which explain financial market reactions to economic shocks. Furthermore, the interactions of dependencies, volatility and returns are analyzed, to determine the efficiency of portfolio diversification in regards to wealth protection. Portfolio risks are estimated through Dynamic Copulas to demonstrate their abilities to replicate financial market interactions accurately. Additionally, this analysis reveals the impact of changing dependence intensities on the magnitude of possible portfolio losses. Finally, the Dynamic Copulas are utilized to allocate higher moment optimal portfolios. This examination emphasizes the effect of inaccurate correlation estimates on the portfolio choice.

Informations détaillées sur le livre - Dynamic Copulas for Finance


EAN (ISBN-13): 9783844100402
ISBN (ISBN-10): 3844100407
Version reliée
Livre de poche
Date de parution: 2011
Editeur: Josef Eul Verlag GmbH
176 Pages
Poids: 0,262 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2012-01-17T16:43:46+01:00 (Zurich)
Page de détail modifiée en dernier sur 2021-02-28T15:12:19+01:00 (Zurich)
ISBN/EAN: 9783844100402

ISBN - Autres types d'écriture:
3-8441-0040-7, 978-3-8441-0040-2
Autres types d'écriture et termes associés:
Auteur du livre: valentin just, josef braun, aries judas
Titre du livre: calculation for finance, portfolio


Données de l'éditeur

Auteur: Valentin Braun
Titre: Quantitative Ökonomie; Dynamic Copulas for Finance - An Application to Portfolio Risk Calculation
Editeur: Josef Eul Verlag
158 Pages
Date de parution: 2011-06-04
Poids: 0,262 kg
Langue: Anglais
48,00 € (DE)
49,40 € (AT)
79,50 CHF (CH)
Not available, publisher indicates OP

BC; PB; Hardcover, Softcover / Wirtschaft/Allgemeines, Lexika; Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management; Copula Theory; Copulas; Dynamic Copulas; Risk Calculation; Portfolio Risk

The interactions of financial securities are crucial to determine possible portfolio losses. Although this fact is well understood, two questions remain: What causes changes in the dependence structure of financial assets? How can fluctuating dependencies be measured? The most common approach to identify the amplitude of financial assets' interactions are linear correlation coefficients. However, they fail to comprise shifts in the dependence structure. Alternatively, Copulas are a more flexible dependence measurement. This book focuses on the development of Dynamic Copula frameworks by implementing stochastic parameters into Archimedian and Elliptical Copula functions. In contrast to static correlation measures, the Dynamic Copulas are able to replicate unstable financial market interactions. Various Dynamic Copulas are applied to global stock, bond, commodity and exchange rate data to calculate the correlation time paths, which explain financial market reactions to economic shocks. Furthermore, the interactions of dependencies, volatility and returns are analyzed, to determine the efficiency of portfolio diversification in regards to wealth protection. Portfolio risks are estimated through Dynamic Copulas to demonstrate their abilities to replicate financial market interactions accurately. Additionally, this analysis reveals the impact of changing dependence intensities on the magnitude of possible portfolio losses. Finally, the Dynamic Copulas are utilized to allocate higher moment optimal portfolios. This examination emphasizes the effect of inaccurate correlation estimates on the portfolio choice.

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