March 2017
Beginner
284 pages
5h 32m
English
Overview
Dive into the fascinating world of quantitative finance with 'Learning Quantitative Finance with R'. This hands-on guide takes you on a journey through foundational concepts to advanced techniques in financial analysis, all implemented within the versatile R programming language. Master the skills needed to create powerful financial models, optimize trading strategies, and leverage machine learning in this dynamic field.
What this Book will help me do
- Build a strong foundation in R for applications in quantitative finance.
- Understand and implement real-world trading strategies using algorithmic methods.
- Apply machine learning techniques to build predictive financial models.
- Master risk management techniques for optimizing trading strategies.
- Develop and optimize trading strategies that control risk and maximize returns.
Author(s)
Prashant Vats and None Jeet bring their extensive experience and passion for finance and R programming to 'Learning Quantitative Finance with R'. Prashant, with his quantitative background, specializes in translating complex financial algorithms into actionable code, and None Jeet is a financial expert dedicated to making quantitative finance accessible to all. Together, they provide an educational yet practical approach to learning.
Who is it for?
This book is ideal for budding quantitative analysts, financial professionals seeking to expand their computational skillset, and R developers curious about financial applications. If you're familiar with basic finance concepts and are eager to apply programming to quantitative problems, this guide is tailored for you. Beginners to R will find the introductory chapters clear, while intermediate users can dive into its advanced topics.
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