New model revolutionizes credit risk management for multi-name derivatives portfolios!
The article introduces a model for assessing credit risk in portfolios, focusing on how different entities' risks are connected. The model uses a special distribution and is calibrated using synthetic data. The results show that this model is flexible and accurately reflects market trends in credit risk.