Get Free Ebook A Quantitative Primer on Investments with R
Get Free Ebook A Quantitative Primer on Investments with R
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A Quantitative Primer on Investments with R
Get Free Ebook A Quantitative Primer on Investments with R
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Review
A unique and comprehensive book for learning to invest with R; packed full of intuition, theory, and R code to let readers get their hands dirty with the ideas. Dale’s passion for teaching and finance offers a wealth of insights on risk management, statistics, and economics. — Kris Boudt, Professor of Finance and Econometrics at Vrije Universiteit Brussel and Amsterdam The book I wish I had when I was starting my career. — Justin Klosek, Portfolio Manager, Cambridge Square Capital Does for investments what John Hull's book did for derivatives: provides a clear, objective, formal treatment of a fundamental financial topic for quantitative readers with a practical inclination. — Philip Maymin, University of Bridgeport; hedge fund portfolio manager; author of Financial Hacking
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From the Back Cover
Quantitative analysts and financial engineers often skip taking an investments course. This omission robs them of the fundamental knowledge needed to create better, more profitable models. A Quantitative Primer on Investments with R fills that gap by taking a quantitative approach to investments and analyzing real data using R. This illuminates the commonalities among investment theories and builds intuition. This material has been tested over a decade of teaching and has enabled many students to enter the world of quantitative finance and succeed. "Does for investments what John Hull's book did for derivatives: provides a clear, objective, formal treatment of a fundamental financial topic for quantitative readers with a practical inclination." -- Philip Maymin, University of Bridgeport; hedge fund portfolio manager; author of Financial Hacking "The book I wish I had when I was starting my career." -- Justin Klosek, Portfolio Manager, Cambridge Square Capital "A unique and comprehensive book for learning to invest with R; packed full of intuition, theory, and R code to let readers get their hands dirty with the ideas. Dale's passion for teaching and finance offers a wealth of insights on risk management, statistics, and economics." -- Kris Boudt, Professor of Finance and Econometrics at Vrije Universiteit Brussel and Amsterdam
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Product details
Hardcover: 766 pages
Publisher: Q36 LLC (May 28, 2018)
Language: English
ISBN-10: 1732235600
ISBN-13: 978-1732235601
Product Dimensions:
6 x 1.6 x 9 inches
Shipping Weight: 2.8 pounds (View shipping rates and policies)
Average Customer Review:
5.0 out of 5 stars
4 customer reviews
Amazon Best Sellers Rank:
#629,855 in Books (See Top 100 in Books)
This book covers a wide range of topics in surprising detail. I wish I had this type of book when I was getting into finance. It can serve as an overview for novices, or it can serve as a reference for practitioners. I highly recommend this book for anyone coming from another field who is interested in learning about finance, or I recommend it to those who work in the industry and would like to expand their knowledge base.
I'll definitely keep this one on the shelf to revisit!
I've worked in quant research for several years, and have read a lot of books that aimed to do what this one does. However, this book covers some very unique and diverse ground, but still hits the narrative and pieces needed to drive the fundamentals.
This book is perfect if you're looking to learn something new in finance or keep your knowledge fresh! Text is easy to read and engaging. Highly recommend.
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