9781119965831-1119965837-Problems and Solutions in Mathematical Finance, Volume 1: Stochastic Calculus (The Wiley Finance Series)

Problems and Solutions in Mathematical Finance, Volume 1: Stochastic Calculus (The Wiley Finance Series)

ISBN-13: 9781119965831
ISBN-10: 1119965837
Edition: Volume 1
Author: Eric Chin, Dian Nel, Sverrir lafsson
Publication date: 2014
Publisher: Wiley
Format: Hardcover 400 pages
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Book details

ISBN-13: 9781119965831
ISBN-10: 1119965837
Edition: Volume 1
Author: Eric Chin, Dian Nel, Sverrir lafsson
Publication date: 2014
Publisher: Wiley
Format: Hardcover 400 pages

Summary

Problems and Solutions in Mathematical Finance, Volume 1: Stochastic Calculus (The Wiley Finance Series) (ISBN-13: 9781119965831 and ISBN-10: 1119965837), written by authors Eric Chin, Dian Nel, Sverrir lafsson, was published by Wiley in 2014. With an overall rating of 3.8 stars, it's a notable title among other Finance (Investing, Pricing, Management & Leadership, Business Mathematics, Business Skills) books. You can easily purchase or rent Problems and Solutions in Mathematical Finance, Volume 1: Stochastic Calculus (The Wiley Finance Series) (Hardcover) from BooksRun, along with many other new and used Finance books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $15.36.

Description

Mathematical finance requires the use of advanced mathematical techniques drawn from the theory of probability, stochastic processes and stochastic differential equations. These areas are generally introduced and developed at an abstract level, making it problematic when applying these techniques to practical issues in finance.

Problems and Solutions in Mathematical Finance Volume I: Stochastic Calculus is the first of a four-volume set of books focusing on problems and solutions in mathematical finance.

This volume introduces the reader to the basic stochastic calculus concepts required for the study of this important subject, providing a large number of worked examples which enable the reader to build the necessary foundation for more practical orientated problems in the later volumes. Through this application and by working through the numerous examples, the reader will properly understand and appreciate the fundamentals that underpin mathematical finance.

Written mainly for students, industry practitioners and those involved in teaching in this field of study, Stochastic Calculus provides a valuable reference book to complement one’s further understanding of mathematical finance.

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