Bayesian Backtesting for Counterparty Risk Models

March 3, 2022

Financial institutions need a conceptually sound and easy-to-implement approach for analyzing model performance. Matthias Arnsdorf and Mante Zelvyte offer a new framework for counterparty risk model backtesting, based on Bayesian methods, and compare their approach with more conventional strategies.

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