Financial Modeling Under Non-Gaussian Distributions (Springer Finance)

4,25 durchschnittliche Bewertung
( 4 Bewertungen bei Goodreads )
 
9781846284199: Financial Modeling Under Non-Gaussian Distributions (Springer Finance)

This book examines non-Gaussian distributions. It addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

From the Back Cover:

Practitioners and researchers who have handled financial market data know that asset returns do not behave according to the bell-shaped curve, associated with the Gaussian or normal distribution. Indeed, the use of Gaussian models when the asset return distributions are not normal could lead to a wrong choice of portfolio, the underestimation of extreme losses or mispriced derivative products. Consequently, non-Gaussian models and models based on processes with jumps are gaining popularity among financial market practitioners.

Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. One of the main aims is to bridge the gap between the theoretical developments and the practical implementations of what many users and researchers perceive as "sophisticated" models or black boxes. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series, such as exchange and interest rates. The authors have taken care to make the material accessible to anyone with a basic knowledge of statistics, calculus and probability, while at the same time preserving the mathematical rigor and complexity of the original models.

This book will be an essential reference for practitioners in the finance industry, especially those responsible for managing portfolios and monitoring financial risk, but it will also be useful for mathematicians who want to know more about how their mathematical tools are applied in finance, and as a text for advanced courses in empirical finance; financial econometrics and financial derivatives

Review:

From the reviews:

"Financial Modeling Under Non-Gaussian Distributions ... is thus very welcome as it provides an accessible and easy-to-understand treatment of a broad range of topics, including core material to more advanced techniques on the subject of capturing non-Gaussian properties in the distributions of asset returns. ... Financial Modeling Under Non-Gaussian Distributions is a very accessible textbook that covers a wide range of topics. ... The authors define their target readers as specialized master and Ph.D. students, as well as financial industry practitioners." (Stephan Suess, Financial Markets and Portfolio Management, Vol. 22, 2008)

"This book is written for non-mathematicians who want to model financial market prices. ... It targets practioners in the financial industry. It is suitable for use as core text for students in empirical finance, financial econometrics and financial derivatives. It is useful for mathematician who want to know more about their mathematical tools are applied in finance." (Klaus Ehemann, Zentralblatt MATH, Vol. 1138 (16), 2008)

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Neu kaufen Angebot ansehen

Versand: EUR 29,50
Von Deutschland nach USA

Versandziele, Kosten & Dauer

In den Warenkorb

Beste Suchergebnisse beim ZVAB

1.

Eric Jondeau
Verlag: Springer-Verlag Gmbh Nov 2006 (2006)
ISBN 10: 1846284198 ISBN 13: 9781846284199
Neu Anzahl: 1
Anbieter
AHA-BUCH GmbH
(Einbeck, Deutschland)
Bewertung
[?]

Buchbeschreibung Springer-Verlag Gmbh Nov 2006, 2006. Buch. Buchzustand: Neu. Neuware - Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The aim is to bridge the gap between theoretical developments and the practical implementations of what many users and researchers perceive as 'sophisticated' models. The emphasis throughout is on practice: there are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series, such as exchange and interest rates.This book will be an essential reference for practitioners in the finance industry, especially those responsible for managing portfolios and monitoring financial risk, but it will also be useful for mathematicians who want to know more about how their mathematical tools are applied in finance, and as a text for advanced courses in empirical finance; financial econometrics and financial derivatives. 542 pp. Englisch. Artikel-Nr. 9781846284199

Weitere Informationen zu diesem Verkäufer | Frage an den Anbieter

Neu kaufen
EUR 119,99
Währung umrechnen

In den Warenkorb

Versand: EUR 29,50
Von Deutschland nach USA
Versandziele, Kosten & Dauer