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Problems and Solutions in Mathematical Finance, Volume 1 Stochastic Calculus (Revised)

Problems and Solutions in Mathematical Finance, Volume 1: Stochastic Calculus (Revised)

By Eric Chin, Sverrir �lafsson, and Dian Nel

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.

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Book Information

Publisher: Wiley
Publish Date: 11/10/2014
Pages: 400
ISBN-13: 9781119965831
ISBN-10: 1119965837
Language: Eng

Full 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.

About the Authors

Dr. Eric Chin (London, UK) is a quantitative analyst at Standard Chartered Bank where he is involved in providing guidance on price testing methodologies and their implementation, formulating model calibration and model appropriateness across all asset classes.

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Dr. Eric Chin (London, UK) is a quantitative analyst at Standard Chartered Bank where he is involved in providing guidance on price testing methodologies and their implementation, formulating model calibration and model appropriateness across all asset classes.

Dian Nel (London, UK) is a quantitative analyst currently working for Norwegian Energy and has many years experience in energy markets where his main interests include exotic options, portfolio optimisation and hedging in incomplete markets.

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