R Programming and Its Applications in Financial Mathematics

Shuichi Ohsaki, Jori Ruppert-Felsot, Daisuke Yoshikawa

February 12, 2018 by CRC Press
Reference - 248 Pages - 4 Color & 62 B/W Illustrations
ISBN 9781498766098 - CAT# K29124

USD$149.95

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Features

  • Discusses the application of R programming methods to improve performance analysis versus other programming languages, such as C++ and Excel VBA

  • Covers various analytical methods with R, including statistical analysis and time series analysis, and provides basic numerical approaches for valuing financial contracts, such as Monte Carlo simulation, finite difference method, and parameter estimation

  • Delivers simple and easy-to-follow descriptions to help readers instantly utilize the methods discussed in the text

Summary

This book provides an introduction to R programming and a summary of financial mathematics.


It is not always easy for graduate students to grasp an overview of the theory of finance in an abstract form. For newcomers to the finance industry, it is not always obvious how to apply the abstract theory to the real financial data they encounter. Introducing finance theory alongside numerical applications makes it easier to grasp the subject.


Popular programming languages like C++, which are used in many financial applications are meant for general-purpose requirements. They are good for implementing large-scale distributed systems for simultaneously valuing many financial contracts, but they are not as suitable for small-scale ad-hoc analysis or exploration of financial data. The R programming language overcomes this problem. R can be used for numerical applications including statistical analysis, time series analysis, numerical methods for pricing financial contracts, etc.

This book provides an overview of financial mathematics with numerous examples numerically illustrated using the R programming language.

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