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Learning Quantitative Finance with R

You're reading from  Learning Quantitative Finance with R

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781786462411
Pages 284 pages
Edition 1st Edition
Languages
Authors (2):
Dr. Param Jeet Dr. Param Jeet
Profile icon Dr. Param Jeet
PRASHANT VATS PRASHANT VATS
Profile icon PRASHANT VATS
View More author details

Table of Contents (16) Chapters

Learning Quantitative Finance with R
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to R 2. Statistical Modeling 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

About the Reviewer

Manuel Amunategui is an applied data scientist. He has implemented enterprise predictive solutions for many industries, including healthcare, finance, and sales. Prior to that, he worked as a quantitative developer on Wall Street for 6 years for one of the largest equity-options market-making firms, and as a software developer at Microsoft for 4 years.

He holds master degrees in Predictive Analytics from Northwestern University and in International Administration from the School for International Training.

He is currently the VP of Data Science at SpringML, a startup focused on offering advanced and predictive CRM analytics advice, dashboards, and automation. SpringML’s clients include Google Cloud Platform, Chevron, Yamaha, Tesoro, and Salesforce.

He is a data science advocate, blogger/vlogger (amunategui.github.io) and a trainer on Udemy.com and O’Reilly Media.

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