This study analyzes information production and trading behavior of banks with lending relationships. We combine trade-by-trade supervisory data and credit-registry data to examine banks' proprietary trading in borrower stocks around a large number of corporate events. We find that relationship...

This paper uses U.S. loan-level credit register data and the 2018-2019 Trade War to test for the effects of international trade uncertainty on domestic credit supply. We exploit cross-sectional heterogeneity in banks' ex-ante exposure to trade uncertainty and find that an increase in trade...

Over the past two decades, banks have increasingly focused on offering contingent credit in the form of credit lines as a primary means of corporate borrowing. We review the existing body of research regarding the rationales for banks' provision of liquidity insurance in the form of credit...

We characterize the large number of mortgage offers for which people qualify in the United Kingdom. Very few pick the cheapest option, nonetheless the one selected is not usually noticeably more expensive. A few borrowers make very expensive choices. These are most common when the menu they face...

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...

Banks have voluntarily committed to align their lending portfolios with a net zero path toward a decarbonized economy. In this review, we explore the economic channels for why portfolio decarbonization might be consistent with lender profit maximization. We frame the question by positing that...

We analyze the costs and benefits of intermediaries for government-sponsored enterprise (GSE) mortgages using regulatory data. We find evidence of lenders pricing for observable and unobservable default risk independently from the GSEs. These findings are explained using a model of competitive...

When race is not directly observed, regulators and analysts commonly predict it using algorithms based on last name and address. In small business lending--where regulators assess fair lending law compliance using the Bayesian Improved Surname Geocoding (BISG) algorithm--we document large...

This paper studies the economics behind the investment in information technologies (IT) by U.S. commercial banks in the past decade. By linking banks' IT spending to their lending technologies, we analyze the distinctive natures of banks' dealings with information across various lending...

Using real estate investment trusts (REITs) that invest in commercial real estate (CRE) as a leading example, we study the implications for banks of extending credit lines to "shadow banks" or non-bank financial intermediaries (NBFIs). While small and mid-size banks hold an economically...