An Introduction to Mathematical Finance with Applications: Understanding and Building Financial Intuition (Springer Undergraduate Texts in Mathematics and Technology)

Petters, Arlie O.; Dong, Xiaoying

ISBN 10: 1493937812 ISBN 13: 9781493937813
Published by Springer, 2016
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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.

About the Author: Arlie Oswald Petters is a Professor of Mathematics, Physics, and Business Administration at Duke University. Petters is also co-author of Birkhauser's Singularity Theory and Gravitational Lensing


Xiaoying Dong is an Adjunct Assistant Professor of Mathematics at Duke University and has been a professional trader for over 20 years.

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Title: An Introduction to Mathematical Finance with...
Publisher: Springer
Publication Date: 2016
Binding: Hardcover
Condition: As New
Edition: 1. Auflage

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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook aims to fill the gap between those that offer atheoretical treatment without many applications and those that presentand apply formulas without appropriately deriving them. The balanceachieved will give readers a fundamental understanding of key financialideas and tools that form the basis for building realistic models,including those that may become proprietary. Numerous carefully chosenexamples and exercises reinforce the student's conceptual understandingand facility with applications. The exercises are divided intoconceptual, application-based, and theoretical problems, which probe thematerial deeper.The book is aimed toward advanced undergraduates and first-year graduatestudents who are new to finance or want a more rigorous treatment of themathematical models used within. While no background in finance isassumed, prerequisite math courses include multivariable calculus,probability, and linear algebra. The authors introduce additionalmathematical tools as needed. The entire textbook is appropriate for asingle year-long course on introductory mathematical finance. Theself-contained design of the text allows for instructor flexibility intopics courses and those focusing on financial derivatives. Moreover,the text is useful for mathematicians, physicists, and engineers whowant to learn finance via an approach that builds their financialintuition and is explicit about model building, as well as businessschool students who want a treatment of finance that is deeper but not overly theoretical. 504 pp. Englisch. Seller Inventory # 9781493937813

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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 504 pp. Englisch. Seller Inventory # 9781493937813

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