Model Robustness

Model robustness refers to the ability of a financial model to maintain its performance and validity across a wide range of market conditions and data variations. A robust model is not overly sensitive to minor changes in input parameters and does not rely on specific historical quirks to generate results.

In the context of derivatives, a robust model provides reliable pricing and risk sensitivity metrics even during periods of extreme market stress or high volatility. Achieving robustness often involves testing models against synthetic data or stress-testing them with hypothetical "black swan" scenarios.

It is the opposite of overfitting, focusing on fundamental market relationships that persist over time. A robust model is the foundation of sustainable trading.