Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 53,67
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In den WarenkorbHardback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 72,80
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 92,56
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 250 pages. 9.25x6.25x0.75 inches. In Stock.
Anbieter: LiLi - La Liberté des Livres, CANEJAN, Frankreich
Zustand: fine. l'article peut presenter de tres legers signes d'usure, petites rayures ou imperfections esthetiques. vendeur professionnel; envoi soigne en 24/48h.
Anbieter: Mooney's bookstore, Den Helder, Niederlande
Zustand: Very good.
Sprache: Englisch
Verlag: Springer Verlag, New York, Berlin, Heidelberg, Hong Kong, London, Milan, Paris, Tokyo, 2004
ISBN 10: 0387401008 ISBN 13: 9780387401003
Anbieter: Versandantiquariat Abendstunde, Ludwigshafen am Rhein, Deutschland
Hardcover. Zustand: gut. Erste Aufl. Kartonierte glanzfolienkaschierte Broschur mit Rücken- und Deckeltitel. Der Kopfschnitt partiell ganz dezent verfärbt, ansonsten guter bis sehr guter Erhaltungszustand. "Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for stochastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes. This book is being published in two volumes. The first volume presents the binomial asset-pricing model primarily as a vehicle for introducing in the simple setting the concepts needed for the continuous-time theory in the second volume. Chapter summaries and detailed illustrations are included. Classroom tested exercises conclude every chapter. Some of these extend the theory and others are drawn from practical problems in quantitative finance. Advanced undergraduates and Masters level students in mathematical finance and financial engineering will find this book useful. Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education." (Verlagstext) In englischer Sprache. XV, (I), 187, (5) pages. Groß 8° (154 x 235mm).
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Stochastic Calculus for Finance evolved from the first ten years of the Carnegie Mellon Professional Master's program in Computational Finance. The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for stochastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes.This book is being published in two volumes. The first volume presents the binomial asset-pricing model primarily as a vehicle for introducing in the simple setting the concepts needed for the continuous-time theory in the second volume.Chapter summaries and detailed illustrations are included. Classroom tested exercises conclude every chapter. Some of these extend the theory and others are drawn from practical problems in quantitative finance.Advanced undergraduates and Masters level students in mathematical finance and financial engineering will find this book useful. Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education.