Description
Model Risk Management: Risk Bounds under Uncertainty is a definitive resource for understanding and managing model risk in financial contexts. Authored by renowned experts Ludger Rüschendorf, Steven Vanduffel, and Carole Bernard, this Cambridge University Press publication addresses one of the most critical challenges in modern finance: quantifying risks when models fail or are misspecified.
The book provides rigorous mathematical frameworks and practical methodologies for establishing risk bounds and uncertainty sets. It covers advanced topics including model validation, stress testing, and robust optimization under model uncertainty. The authors synthesize theoretical insights with real-world applications, offering readers both conceptual understanding and implementable solutions.
Essential for risk managers, quantitative analysts, financial engineers, and academics, this work bridges the gap between theoretical probability and practical risk management. It equips professionals with tools to navigate model uncertainty and build more resilient financial systems.
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