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. Real applications are tailored for non-mathematicians who want to model financial market prices. The book is specially designed for course use, with the necessary background mathematics provided in appendices.
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"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
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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gebundene Ausgabe. Etat : Gut. 541 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 910. N° de réf. du vendeur 2282739
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - 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. 541 pp. Englisch. N° de réf. du vendeur 9781846284199
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