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Introduction to R for Quantitative Finance: Solve a diverse range of problems with R, one of the most powerful tools for quantitative finance
Introduction to R for Quantitative Finance: Solve a diverse range of problems with R, one of the most powerful tools for quantitative finance
Gergely Daroczi, Michael Puhle, Edina Berlinger, Péter Csóka, Daniel Havran, Márton Michaletzky, Zsolt Tulassay, Kata Varadi, Agnes Vidovics-Dancs
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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.
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