Introduction to R for Quantitative Finance
Solve a diverse range of problems with R, one of the most powerful tools for quantitative finance
| Price | $23.99 - $50.07
|
| Rating |   |
| Authors | Gergely Daroczi, Michael Puhle, Edina Berlinger, Peter Csoka, Daniel Havran, Marton Michaletzky, Zsolt Tulassay, Kata Varadi, Agnes Vidovics-Dancs |
| Publisher | Packt Publishing |
| Published | 2013 |
| Pages | 164 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 178328093X |
| ISBN-13 | 9781783280933 |
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.
- Gergely Daroczi (2 books)
- Michael Puhle
- Edina Berlinger (2 books)
- Peter Csoka
- Daniel Havran
- Marton Michaletzky
- Zsolt Tulassay
- Kata Varadi
- Agnes Vidovics-Dancs
3 5 2
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