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Learning Quantitative Finance with R

You're reading from Learning Quantitative Finance with R Implement machine learning, time-series analysis, algorithmic trading and more

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781786462411

Length 284 pages

Edition 1st Edition

Languages

R

Concepts

Financial Technology

Authors (2):

PRASHANT VATS

Dr. Param Jeet

View More author details

Table of Contents (10) Chapters

Preface

1. Introduction to R

2. Statistical Modeling FREE CHAPTER

3. Econometric and Wavelet Analysis

4. Time Series Modeling

5. Algorithmic Trading

6. Trading Using Machine Learning

7. Risk Management

8. Optimization

9. Derivative Pricing

What you need for this book

First of all, you should make sure that R is installed on your machine. All the examples in this book have been implemented in R and can be executed on the R console. R is an open source platform and can be installed free of charge for any operating system from https://www.r-project.org/. Installation guidelines are also found on this website. Once you have R on your machine, you can straightaway go to chapter 1 and start. Each chapter explains about the required packages, shows how to install packages, and and tells the reader how to load them into the workspace.

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Authors (2)

Jeet

Jeet

Dr. Param Jeet is a Ph.D. in mathematics from one of India's leading technological institute in Madras (IITM), India. Dr. Param Jeet has a couple of mathematical research papers published in various international journals. Dr. Param Jeet has been into the analytics industry for the last few years and has worked with various leading multinational companies as well as consulted few of companies as a data scientist.

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PRASHANT VATS

PRASHANT VATS

Prashant Vats is a masters in mathematics from one of India's leading technological institute, IIT Mumbai. Prashant has been into analytics industry for more than 10 years and has worked with various leading multinational companies as well as consulted few of companies as data scientist across several domain.

See other products by PRASHANT VATS

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