Quantitative equity portfolio management turns data into systematic investment decisions. A typical process can be summarized as:
Data → Factor → Prediction → Portfolio → Backtest
Researchers assemble point-in-time data, design candidate signals, estimate expected returns, translate forecasts into positions, and evaluate the result after realistic costs and constraints.
Continue with Factor Models in 30 Minutes.