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
|Authors||Gergely Daroczi, Michael Puhle, Edina Berlinger, Peter Csoka, Daniel Havran, Marton Michaletzky, Zsolt Tulassay, Kata Varadi, Agnes Vidovics-Dancs|
|Format||Paper book / ebook (PDF)|
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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