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...

Using highly detailed data on the loan portfolios of large U.S. banks, we document that these banks "specialize" by concentrating their lending disproportionately into one industry. This specialization improves a bank’s industry-specific knowledge and allows it to offer generous loan terms to...

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 explore how large and small banks make funding decisions when the government provides system-wide bailouts to the financial sector. We show that bank size, purely on strategic grounds, is a key determinant of banks' leverage choices, even when bailout policies treat large and small banks...

We explore how large and small banks make funding decisions when the government provides system-wide bailouts to the financial sector. We show that bank size, purely on strategic grounds, is a key determinant of banks' leverage choices, even when bailout policies treat large and small banks...

We explore how large and small banks make funding decisions when the government provides system-wide bailouts to the financial sector. We show that bank size, purely on strategic grounds, is a key determinant of banks' leverage choices, even when bailout policies treat large and small banks...