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Learning Quantitative Finance with R

Learning Quantitative Finance with R: Implement machine learning, time-series analysis, algorithmic trading and more

By Dr. Param Jeet , PRASHANT VATS
$43.99 $29.99
Book Mar 2017 284 pages 1st Edition
eBook
$43.99 $29.99
Print
$54.99
Subscription
$15.99 Monthly
eBook
$43.99 $29.99
Print
$54.99
Subscription
$15.99 Monthly

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Product Details


Publication date : Mar 23, 2017
Length 284 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781786462411
Category :
Languages :
toc View table of contents toc Preview Book toc Download Code

Key benefits

  • Understand the basics of R and how they can be applied in various Quantitative Finance scenarios
  • Learn various algorithmic trading techniques and ways to optimize them using the tools available in R.
  • Contain different methods to manage risk and explore trading using Machine Learning.

Description

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.

What you will learn

[*]Get to know the basics of R and how to use it in the field of Quantitative Finance [*]Understand data processing and model building using R [*]Explore different types of analytical techniques such as statistical analysis, time-series analysis, predictive modeling, and econometric analysis [*] Build and analyze quantitative finance models using real-world examples [*] How real-life examples should be used to develop strategies [*] Performance metrics to look into before deciding upon any model [*] Deep dive into the vast world of machine-learning based trading [*] Get to grips with algorithmic trading and different ways of optimizing it [*] Learn about controlling risk parameters of financial instruments

What do you get with eBook?

Feature icon Instant access to your Digital eBook purchase
Feature icon Download this book in EPUB and PDF formats
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Mar 23, 2017
Length 284 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781786462411
Category :
Languages :

Table of Contents

16 Chapters
Learning Quantitative Finance with R Packt Packt
Credits Packt Packt
About the Authors Packt Packt
About the Reviewer Packt Packt
www.PacktPub.com Packt Packt
Customer Feedback Packt Packt
Preface Packt Packt
Introduction to R Packt Packt
Statistical Modeling Packt Packt
Econometric and Wavelet Analysis Packt Packt
Time Series Modeling Packt Packt
Algorithmic Trading Packt Packt
Trading Using Machine Learning Packt Packt
Risk Management Packt Packt
Optimization Packt Packt
Derivative Pricing Packt Packt

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