How is machine learning applied in alternative credit scoring?

Oct 31, 2016 ... This is why the technical debate over alternative credit-scoring models in housing finance is both important and politically fraught. Nov 29, 2021 ... ... loan and how much they should pay. This so-called alternative credit scoring could have profound effects for consumers, many of them ... FHFA, along with Fannie Mae and Freddie Mac (the Enterprises), is committed to regularly assessing and modernizing the credit score models used by mortgage ... Utilising alternative data to evaluate a borrower's financial soundness and repayment capability is known as “alternative credit scoring”. This new assessment ... Jan 26, 2023 ... Alternative credit scoring models incorporate alternative credit data* that isn't typically found on consumer credit reports. These scores aren' ... Jan 10, 2024 ... Alternative data for credit scoring includes information about utility payments, insurance payments, rental payments, public records, and property records. Mar 22, 2023 ... This method expands upon traditional credit scoring models and incorporates factors such as non-traditional data such as utility and rent payments, social ... Aug 6, 2021 ... Now a preprint study in which researchers used artificial intelligence to test alternative credit-scoring models finds that there is indeed a ... Mar 26, 2024 ... Alternative credit data, such as rent payments or other transactional activity, can be used to develop alternative credit scoring models in ... Feb 10, 2022 ... Alternative data promise to expand access to loans for the more than one in seven adult Americans who lack an established credit score, Chopra ...