Book Image

Learning Quantitative Finance with R

By : Dr. Param Jeet, PRASHANT VATS
Book Image

Learning Quantitative Finance with R

By: Dr. Param Jeet, PRASHANT VATS

Overview of this book

The role of a quantitative analyst is very challenging, yet lucrative, so there is a lot of competition for the role in top-tier organizations and investment banks. This book is your go-to resource if you want to equip yourself with the skills required to tackle any real-world problem in quantitative finance using the popular R programming language. You'll start by getting an understanding of the basics of R and its relevance in the field of quantitative finance. Once you've built this foundation, we'll dive into the practicalities of building financial models in R. This will help you have a fair understanding of the topics as well as their implementation, as the authors have presented some use cases along with examples that are easy to understand and correlate. We'll also look at risk management and optimization techniques for algorithmic trading. Finally, the book will explain some advanced concepts, such as trading using machine learning, optimizations, exotic options, and hedging. By the end of this book, you will have a firm grasp of the techniques required to implement basic quantitative finance models in R.
Table of Contents (16 chapters)
Learning Quantitative Finance with R
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Questions


  1. What are the various atomic objects of R?

  2. What is a vector in R?

  3. What is the difference between a vector and a list?

  4. What is the difference between arrays and matrices?

  5. What is a DataFrame and what is its significance in R?

  6. How do you read and write CSV and XLSX files in R?

  7. How do you read and write stock-market data in R?

  8. Explain the process of connecting R with any relational database.

  9. What is a function and what is its significance in R?

  10. What is an assignment operator in R?

  11. How do you call a function in R?

  12. How do you source a script in R?

  13. What is the difference between for and while loops in R?