Quantitative Investing with R for the Novice
Chapter 1 – Quantitative Investing with R
Chapter 2 – Buiding a Portfolio
Chapter 3 – Asset Pricing and CAPM
Chapter 4 – Fama-French Factor Modeling
Chapter 5 – Portfolio Analysis: Fundamental vs. Technical Approaches
Chapter 6 – Portfolio Regression and Time-Series Analysis
Chapter 7 – Sectors, Industries, and Portfolio Rebalancing
Chapter 8 – Risk-Return Tradeoff and the Sharpe Ratio
Chapter 9 – High-Frequency Trading (HFT)
Chapter 10 – Tecnical Analysis for Intraday Trading
Chapter 11 – Machine Learning for Portfolio Management
Chapter 12 – Monte Carlo Simulation for Investment Decisions
Chapter 13 – Cryptocurrency Analysis
Chapter 14 – Textual Analysis for High-Frequency Trading
