🧮 Quantitative Investment Models

Quantitative models use mathematical and statistical methods to identify investment opportunities and manage risk. Factor models decompose returns into systematic risk sources like value, momentum, and quality. Machine learning applications include pattern recognition, sentiment analysis, and portfolio optimization. However, model risk, overfitting, and regime changes can cause significant losses when models fail or market conditions change unexpectedly.