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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.


Publisher: Packt Publishing
Author: Gergely Daroczi, Michael Puhle, Edina Berlinger, Péter Csóka, Daniel Havran, Márton Michaletzky, Zsolt Tulassay, Kata Varadi, Agnes Vidovics-Dancs
ISBN: 978-1-78328-093-3
Year: 2013
Pages: 164
Language: English
File size: 4.4 MB
File format: PDF
Buy: Introduction to R for Quantitative Finance

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