The Optimal Use of AI in Financial Regulation
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We study whether AI methods applied to large-scale portfolio holdings data can improve macroprudential financial regulation. We build a graph-based deep learning model tailored to security-level data on the holdings of financial intermediaries. The architecture incorporates economic priors and
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美国国家经济研究局创建时间:
2026-05-01



