1st Edition

R for Programmers Quantitative Investment Applications

By Dan Zhang Copyright 2018
    386 Pages 170 B/W Illustrations
    by CRC Press

    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.

    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.

    Biography

    Dan Zhang