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R for Programmers: Quantitative Investment Applications de Dan Zhang

R for Programmers: Quantitative Investment Applications

Autor Dan Zhang
en Limba Engleză Paperback – 7 mai 2018
After the fundamental volume and the advanced technique volume, this volume focuses on R applications in the quantitative investment area. Quantitative investment has been hot for some years, and there are more and more startups working on it, combined with many other internet communities and business models. R is widely used in this area, and can be a very powerful tool. The author introduces R applications with cases from his own startup, covering topics like portfolio optimization and risk management.
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Specificații

ISBN-13: 9781498736893
ISBN-10: 1498736890
Pagini: 386
Ilustrații: 170
Dimensiuni: 178 x 254 x 27 mm
Greutate: 0.38 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Public țintă

Academic and Professional Practice & Development

Cuprins

Part 1: Financial Market and Financial Theory. 1. Financial Market Overview. 2. Financial Theory. Part 2: Data Processing and High Performance Computing of R. 3. Data Processing of R. 4. High Performance Computing of R. Part 3: Financial Strategy Practice. 5. Bonds and Repurchase. 6. Quantitative Investment Strategy Cases. Appendix: Docker Environment Installation.

Descriere

This book focuses on R applications in the quantitative investment area. It includes R applications with cases on topics like portfolio optimization and risk management.

Notă biografică

Dan Zhang currently works at Qutke in the field of internet finance, leading a startup business of quantitative investment. As a programmer, he has worked in the area of program development for over ten years. Dan has developed mobile games as well as programming tools, and has worked on large Web application systems, internal CRM of companies, system integration of SOA, and big data tools based on Hadoop. Outsourcing, ecommerce, group purchase, payment, SNS and mobile SNS are all within his working range. He is familiar with four programming languages: R, Java, PHP, and JavaScript, and is knowledgeable of mass data storage, data analysis, and machine learning. His blog (http://blog.fens.me/) has a lot of R language original article.