Portfolio construction converts forecasts into investable weights. The design must balance expected return, risk, diversification, liquidity, turnover, and implementation costs.
A first model often starts with ranked signals or mean-variance optimization, then adds constraints and a realistic rebalance policy.
Continue with Research: Portfolio and Machine Learning for Alpha.