We study specialized lending in a credit market competition model with private information. Two banks, equipped with similar data processing systems, possess "general" signals regarding the borrower's quality. However, the specialized bank gains an additional advantage through further...

We develop a credit market competition model that distinguishes between the information span (breadth) and signal precision (quality), capturing the emerging trend in fintech/non-bank lending where traditionally subjective ("soft") information becomes more objective and concrete ("hard"). In a...

We measure the consequences of asymmetric information and imperfect competition in the Italian lending market. We show that banks' optimal price response to an increase in adverse selection varies with competition. Exploiting matched data on loans and defaults, we estimate models of demand for...