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Quantifying credit portfolio sensitivity to asset correlations with interpretable generative ... - Risk.net

Retrieved on: 2024-04-23 13:41:41

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Quantifying credit portfolio sensitivity to asset correlations with interpretable generative ... - Risk.net. View article details on hiswai:

Summary

The article introduces a deep learning approach, specifically using variational autoencoders (VAEs), for enhancing financial risk modeling by generating synthetic correlation matrices to better understand the sensitivity of credit portfolios to asset correlations.

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