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Beschreibung
Provides a broad understanding of practical techniques and algorithms
Ventures deep into the subject area while assuming only minimal background knowledge

Includes many exercises and numerous illustrations
Provides a broad understanding of practical techniques and algorithms
Ventures deep into the subject area while assuming only minimal background knowledge

Includes many exercises and numerous illustrations
Über den Autor
Rüdiger U. Seydel is professor emeritus of numerical analysis. He is the former head of a research group on computational finance at the University of Cologne. He also worked in bifurcation and dynamical systems.
Zusammenfassung

Provides a broad understanding of practical techniques and algorithms

Ventures deep into the subject area while assuming only minimal background knowledge

Includes many exercises and numerous illustrations

Inhaltsverzeichnis

1 Modeling Tools for Financial Options.- 2 Generating Random Numbers with Specified Distributions.- 3 Monte Carlo Simulation with Stochastic Differential Equations.- 4 Standard Methods for Standard Options.- 5 Finite-Element Methods.- 6 Pricing of Exotic Options.- 7 Beyond Black and Scholes.- A Financial Derivatives.- B Stochastic Tools.- C Numerical Methods.- D Extended Tree Methods.- E Complementary Material.- References.- Index.

Details
Erscheinungsjahr: 2017
Fachbereich: Volkswirtschaft
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Reihe: Universitext
Inhalt: xxii
486 S.
59 s/w Illustr.
50 farbige Illustr.
486 p. 109 illus.
50 illus. in color.
ISBN-13: 9781447173373
ISBN-10: 1447173376
Sprache: Englisch
Herstellernummer: 978-1-4471-7337-3
Einband: Kartoniert / Broschiert
Autor: Seydel, Rüdiger U.
Auflage: 6th edition 2017
Hersteller: Springer
Springer London
Springer-Verlag London Ltd.
Universitext
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 28 mm
Von/Mit: Rüdiger U. Seydel
Erscheinungsdatum: 29.08.2017
Gewicht: 0,762 kg
Artikel-ID: 109687868