Introduction to R for Quantitative Finance
Solve a diverse range of problems with R, one of the most powerful tools for quantitative finance
Book 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.
Book Details | |
| Publisher: | Packt Publishing |
| By: | Gergely Daroczi, Michael Puhle, Edina Berlinger, Péter Csóka, Daniel Havran, Márton Michaletzky, Zsolt Tulassay, Kata Varadi, Agnes Vidovics-Dancs |
| ISBN-13: | 9781783280933 |
| ISBN-10: | 178328093X |
| Year: | 2013 |
| Pages: | 164 |
| Language: | English |
Book Preview | |
| Online | Introduction to R for Quantitative Finance |
Paper Book | |
| Buy: | Introduction to R for Quantitative Finance |
Share Introduction to R for Quantitative Finance
