Model Risk Management

Model risk management is the set of processes and controls designed to identify, measure, and mitigate risks arising from the use of mathematical models in trading. In the context of derivatives, these models often involve complex pricing formulas that, if incorrect, can lead to significant financial loss.

This includes checking for errors in code, validating the assumptions behind the model, and ensuring that the model is used within its intended scope. Effective management involves rigorous documentation, independent review, and ongoing monitoring of model performance against actual market results.

Because digital asset protocols are often programmable and automated, model risk is amplified by the potential for rapid, cascading failures. It requires a multidisciplinary approach that combines technical expertise with financial intuition.

Without these controls, the reliance on automated systems can become a major systemic vulnerability.