 | R for Programmers: Quantitative Investment Applications Subjects: Computer Science; Economics Finance Business & Industry; Mathematics & Statistics; Finance; Software Engineering & Systems Development; Statistics & Probability; Programming & Programming Languages; Statistics; 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. |
