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Loan Insurance, Market Liquidity, and Lending Standards

Staff working paper 2019-47 Toni Ahnert, Martin Kuncl
We examine loan insurance—credit risk transfer upon origination—in a model in which lenders can screen, learn loan quality over time, and can sell loans. Some lenders with low screening ability insure, benefiting from higher market liquidity of insured loans while forgoing the option to exploit future information about loan quality.

Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers

Staff working paper 2021-37 Felix Brunner, Ruben Hipp
Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links.

Eric Santor

Eric Santor was appointed as an Advisor to the Governor in 2019.  In this role, he is co-Secretary to the Governing Council and the Managing Director of the International Economic Analysis Department.

Macroeconomic Predictions Using Payments Data and Machine Learning

Staff working paper 2022-10 James Chapman, Ajit Desai
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.
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