ENGLISH

Introduction to R for Quantitative Finance: Solve a diverse range of problems with R, one of the most powerful tools for quantitative finance

By Gergely Daróczi , Michael Puhle , Edina Berlinger , Péter Csóka , Daniel Havran , Márton Michaletzky , Zsolt Tulassay , Kata Váradi , Agnes Vidovics-Dancs

Book information

Publisher
Packt Publishing
Year
2013
ISBN
978-1-78328-093-3
Language
english
Format
PDF
Filesize
4 MB (4426936 bytes)
Pages
164\165
Time added
2016-06-29 18:00:00

Description

Introduction to R for Quantitative Finance will show you how to solve real-world quantitative fi nance problems using the statistical computing language R. The book covers diverse topics ranging from time series analysis to fi nancial networks. Each chapter briefl y presents the theory behind specific concepts and deals with solving a diverse range of problems using R with the help of practical examples. This book will be your guide on how to use and master R in order to solve quantitative finance problems. This book covers the essentials of quantitative finance, taking you through a number of clear and practical examples in R that will not only help you to understand the theory, but how to effectively deal with your own real-life problems.

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