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

Loop control statements


There are control statements that can change the normal sequence of execution. break and next are loop control statements, and we will briefly discuss these control statements here.

break

break terminates the loop and gives control to the next following statement of the loop; for example:

>Vec <- c("Hello") 
>counter <- 5 
>repeat { 
>+   print(Vec) 
>+   counter <- counter + 1 
>+   if(counter > 8) { 
>+      break 
>+   } 
>+} 

As a result of the break statement, when the preceding statement gets executed, it prints Hello four times and then leaves the loop. repeat is another loop construct that keeps executing unless a stop condition is specified.

next

next does not terminate the loop, but skips the current iteration of the flow and goes to the next iteration. See the following example:

>Vec <- c(2,3,4,5,6) 
>for ( i in Vec) { 
>+   if (i == 4) { 
>+      next 
>+   } 
>+   print(i) 
>+} 

In the preceding example, when the iteration goes to the third element of vector Vec, then the control skips the current iteration and goes back to the next iteration. So, when the preceding statement gets executed, it prints vector elements 2, 3, 5, and 6, and skips 4.