An Introduction to Mathematical Finance with Applications

Understanding and Building Financial Intuition

Nonfiction, Science & Nature, Mathematics, Applied, Statistics, Business & Finance
Cover of the book An Introduction to Mathematical Finance with Applications by Arlie O. Petters, Xiaoying Dong, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Arlie O. Petters, Xiaoying Dong ISBN: 9781493937837
Publisher: Springer New York Publication: June 17, 2016
Imprint: Springer Language: English
Author: Arlie O. Petters, Xiaoying Dong
ISBN: 9781493937837
Publisher: Springer New York
Publication: June 17, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer New York

Cover of the book Self-Representation by Arlie O. Petters, Xiaoying Dong
Cover of the book Reciprocity and Dependency in Old Age by Arlie O. Petters, Xiaoying Dong
Cover of the book Commutative Algebra by Arlie O. Petters, Xiaoying Dong
Cover of the book Building Babies by Arlie O. Petters, Xiaoying Dong
Cover of the book Children’s Logical and Mathematical Cognition by Arlie O. Petters, Xiaoying Dong
Cover of the book Psychology of Religion by Arlie O. Petters, Xiaoying Dong
Cover of the book Unexplained Infertility by Arlie O. Petters, Xiaoying Dong
Cover of the book Controversial Issues in Social Research Methods by Arlie O. Petters, Xiaoying Dong
Cover of the book Biotransformation of Waste Biomass into High Value Biochemicals by Arlie O. Petters, Xiaoying Dong
Cover of the book Nuclear Medicine Therapy by Arlie O. Petters, Xiaoying Dong
Cover of the book Handbook of Career Development by Arlie O. Petters, Xiaoying Dong
Cover of the book Biomimetics in Materials Science by Arlie O. Petters, Xiaoying Dong
Cover of the book Core Concepts in Hypertension in Kidney Disease by Arlie O. Petters, Xiaoying Dong
Cover of the book Bioinformation Discovery by Arlie O. Petters, Xiaoying Dong
Cover of the book Excel 2010 for Educational and Psychological Statistics by Arlie O. Petters, Xiaoying Dong
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy