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The Mathematics of Financial Derivatives: A Student Introduction

AUTHOR Dewynne, Jeff; Howison, Sam; Wilmott, Paul
PUBLISHER Cambridge University Press (06/05/2012)
PRODUCT TYPE eBook (Open Ebook)

Description
Finance is one of the fastest growing areas in the modern banking and corporate world. This, together with the sophistication of modern financial products, provides a rapidly growing impetus for new mathematical models and modern mathematical methods. Indeed, the area is an expanding source for novel and relevant "real-world" mathematics. In this book, the authors describe the modeling of financial derivative products from an applied mathematician's viewpoint, from modeling to analysis to elementary computation. The authors present a unified approach to modeling derivative products as partial differential equations, using numerical solutions where appropriate. The authors assume some mathematical background, but provide clear explanations for material beyond elementary calculus, probability, and algebra. This volume will become the standard introduction for advanced undergraduate students to this exciting new field.
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Product Format
Product Details
ISBN-13: 9780511812545
ISBN-10: 051181254X
Content Language: English
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Carton Quantity: 0
Feature Codes: Bibliography
Country of Origin: US
Subject Information
BISAC Categories
Mathematics | Applied
Dewey Decimal: 332.632
Descriptions, Reviews, Etc.
publisher marketing
Finance is one of the fastest growing areas in the modern banking and corporate world. This, together with the sophistication of modern financial products, provides a rapidly growing impetus for new mathematical models and modern mathematical methods. Indeed, the area is an expanding source for novel and relevant "real-world" mathematics. In this book, the authors describe the modeling of financial derivative products from an applied mathematician's viewpoint, from modeling to analysis to elementary computation. The authors present a unified approach to modeling derivative products as partial differential equations, using numerical solutions where appropriate. The authors assume some mathematical background, but provide clear explanations for material beyond elementary calculus, probability, and algebra. This volume will become the standard introduction for advanced undergraduate students to this exciting new field.
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eBook
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