ENGLISH

An Introduction to Mathematical Finance with Applications: Understanding and Building Financial Intuition

Book information

Publisher
Springer
Year
2016
ISBN
1493937812, 978-1-4939-3781-3, 978-1-4939-3783-7, 1493937839
Language
english
Format
PDF
Filesize
4 MB (4370534 bytes)
Series
Springer Undergraduate Texts in Mathematics and Technology
Edition
1st ed.
Pages
483\499
Library
kolxoz
Time added
2017-10-15 16:00:00

Description

This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary. Numerous carefully chosen examples and exercises reinforce the student’s conceptual understanding and facility with applications.  The exercises are divided into conceptual, application-based, and theoretical problems, which probe the material deeper. The book is aimed toward advanced undergraduates and first-year graduate students who are new to finance or want a more rigorous treatment of the mathematical models used within. While no background in finance is assumed, prerequisite math courses include multivariable calculus, probability, and linear algebra. The authors introduce additional mathematical tools as needed. The entire textbook is appropriate for a single year-long course on introductory mathematical finance. The self-contained design of the text allows for instructor flexibility in topics courses and those focusing on financial derivatives. Moreover, the text is useful for mathematicians, physicists, and engineers who want to learn finance via an approach that builds their financial intuition and is explicit about model building, as well as business school students who want a treatment of finance that is deeper but not overly theoretical. Front Matter....Pages i-xvii Preliminaries on Financial Markets....Pages 1-12 The Time Value of Money....Pages 13-82 Markowitz Portfolio Theory....Pages 83-150 Capital Market Theory and Portfolio Risk Measures....Pages 151-208 Binomial Trees and Security Pricing Modeling....Pages 209-252 Stochastic Calculus and Geometric Brownian Motion Model....Pages 253-327 Derivatives: Forwards, Futures, Swaps, and Options....Pages 329-382 The BSM Model and European Option Pricing....Pages 383-475 Back Matter....Pages 477-483

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