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

Dynamic Copulas for Finance : An Application to Portfolio Risk Calculation - Taschenbuch

ISBN: 3844100407

[EAN: 9783844100402], Neubuch, [SC: 0.0], [PU: Josef Eul Verlag Gmbh], Druck auf Anfrage Neuware - The interactions of financial securities are crucial to determine possible portfolio los… Mehr…

NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Valentin Braun:

Dynamic Copulas for Finance : An Application to Portfolio Risk Calculation - Taschenbuch

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… Mehr…

NEW BOOK. Versandkosten:Versandkostenfrei. (EUR 0.00) AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Valentin Braun:
Dynamic Copulas for Finance - gebrauchtes Buch

ISBN: 3844100407

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 depend… Mehr…

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Braun, Valentin:
Dynamic Copulas for Finance - Taschenbuch

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… Mehr…

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Valentin Braun:
Dynamic Copulas for Finance - Taschenbuch

ISBN: 9783844100402

Dynamic Copulas for Finance Dynamic-Copulas-for-Finance~~Valentin-Braun Business>Business Ref>Business Ref Paperback, Josef Eul Verlag GmbH

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Details zum Buch
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.

Detailangaben zum Buch - Dynamic Copulas for Finance


EAN (ISBN-13): 9783844100402
ISBN (ISBN-10): 3844100407
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2011
Herausgeber: Josef Eul Verlag GmbH
176 Seiten
Gewicht: 0,262 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2012-01-17T16:43:46+01:00 (Vienna)
Detailseite zuletzt geändert am 2021-02-28T15:12:19+01:00 (Vienna)
ISBN/EAN: 9783844100402

ISBN - alternative Schreibweisen:
3-8441-0040-7, 978-3-8441-0040-2
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: valentin just, josef braun, aries judas
Titel des Buches: calculation for finance, portfolio


Daten vom Verlag:

Autor/in: Valentin Braun
Titel: Quantitative Ökonomie; Dynamic Copulas for Finance - An Application to Portfolio Risk Calculation
Verlag: Josef Eul Verlag
158 Seiten
Erscheinungsjahr: 2011-06-04
Gewicht: 0,262 kg
Sprache: Englisch
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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