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.

section I|100 pages

Financial Market and Financial Theory

chapter 1|48 pages

Financial Market Overview

chapter 2|50 pages

Financial Theory

section II|101 pages

Data Processing and High Performance Computing of R

chapter 3|67 pages

Data Processing of R

chapter 4|31 pages

High Performance Computing of R

section III|146 pages

Financial Strategy Practice

chapter 5|50 pages

Bonds and Repurchase

chapter 6|94 pages

Quantitative Investment Strategy Cases

chapter |1 pages