Quantitative equity portfolio management combines theories and advanced techniques from several disciplines, including financial economics, accounting, mathematics, and operational research. While many texts are devoted to these disciplines, few deal with quantitative equity investing in a systematic and mathematical framework that is suitable for

Edward E. Qian, Ronald H. Hua, Eric H. Sorensen

This text reviews quantitative investment strategies and factors that are commonly used in practice, including value, momentum, and quality, accompanied by their academic origins. It presents advanced techniques and applications in return forecasting models, risk management, portfolio construction, and portfolio implementation that include examples such as optimal multi-factor models, contextual and nonlinear models, factor timing techniques, portfolio turnover control, Monte Carlo valuation of firm values, and optimal trading. In many cases, the book frames related problems in mathematical terms and illustrates the mathematical concepts and solutions with numerical and empirical examples.

Introduction: Beliefs, Risk, Process. Portfolio Theory. Risk Models and Risk Analysis. Evaluation of Alpha Factors. Quantitative Factors. Valuation Techniques and Value Creation. Multi-Factor Alpha Models. Portfolio Turnover and Optimal Alpha Model. Advanced Alpha Modeling Techniques. Factor Timing Models. Portfolio Constraints and Information Ratio. Transaction Costs and Portfolio Implementation.