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Journal Article
How Much Nonbank Business Lending Is Indirectly Funded by Banks? Some Evidence from a New Data Set
Bank lending to the nonfinancial business sector in the United States has declined in recent decades, accompanied by an increase in credit provision by nonbank financial institutions (NBFIs). At the same time, banks are important providers of funding to the NBFI sector, raising concerns over their exposure to the risk in loans made by NBFIs. This Economic Commentary uses the Federal Reserve’s novel issuer-to-holder data, part of the enhanced financial accounts of the United States, to provide a conservative estimate of the share of lending by NBFIs to nonfinancial businesses that is ...
Working Paper
Making Friends Meet: Network Formation with Introductions
This paper proposes a parsimonious model of network formation with introductions in the presence of intermediation rents. Introductions allow two nodes to form a new connection on favorable terms with the help of a common neighbor. The decision to form links via introductions is subject to a trade-off between the gains from having a direct connection at lower cost and the potential losses for the introducer from lower intermediation rents. When nodes take advantage of introductions, stable networks tend to exhibit a minimum amount of clustering. At the same time, intermediary nodes have ...
Working Paper
The Impact of Merger Legislation on Bank Mergers
We find that stricter merger control legislation increases abnormal announcement returns of targets in bank mergers by 7 percentage points. Analyzing potential explanations for this result, we document an increase in the pre-merger profitability of targets, a decrease in the size of acquirers, and a decreasing share of transactions in which banks are acquired by other banks. Other merger properties, including the size and risk profile of targets, the geographic overlap of merging banks, and the stock market response of rivals appear unaffected. The evidence suggests that the strengthening of ...
Journal Article
The Effect of Size Thresholds on Large Banks under the 2019 Tailoring Framework
Federal bank regulators finalized a tailoring framework for large-bank regulation in 2019. Among other provisions, the 2019 tailoring framework replaced a single category of large banks above $50 billion in total assets with four new categories for prudential regulation separated by size thresholds. Compared to the 2010 Dodd–Frank Act, the 2019 tailoring framework phased in large-bank regulations incrementally, adding a smaller set of changes at each threshold instead of all at once at $50 billion. This Economic Commentary analyzes the effect of this change in banking regulation during the ...
Journal Article
Modeling Behavioral Responses to COVID-19
Many models have been developed to forecast the spread of the COVID-19 virus. We present one that is enhanced to allow individuals to alter their behavior in response to the virus. We show how adding this feature to the model both changes the resulting forecast and informs our understanding of the appropriate policy response. We find that when left to their own devices, individuals do curb their social activity in the face of risk, but not as much as a government planner would. The planner fully internalizes the effect of all individuals’ actions on others in society, while individuals do ...
Journal Article
The Evolution of US Bank Capital around the Implementation of Basel III
Following the Global Financial Crisis of 2007–2008, the capital standards for banks operating in the United States were tightened as US banking regulators implemented the Basel III framework. This Economic Commentary briefly presents the key elements of Basel III relevant to bank capital and analyzes the timing of the evolution of regulatory capital ratios for US bank holding companies during that time. It shows that, on average, banks’ capital ratios increased notably between 2009 and 2012, plateauing before the new rules came into force. While larger and better-capitalized banks ...
Working Paper
Intermediation in Networks
I study intermediation in networked markets using a stochastic model of multilateral bargaining in which players compete on different routes through the network. I characterize stationary equilibrium payoffs as the fixed point of a set of intuitive value function equations and study efficiency and the impact of network structure on payoffs. There is never too little trade but there may be an inefficiency through too much trade in states where delay would be efficient. With homogeneous trade surplus the payoffs for players that are not essential to a trade opportunity go to zero as trade ...
Working Paper
Making Friends Meet: Network Formation with Introductions
High levels of clustering—the tendency for two nodes in a network to share a neighbor—are ubiquitous in economic and social networks across different applications. In addition, many real-world networks show high payoffs for nodes that connect otherwise separate network regions, representing rewards for filling “structural holes” in the sense of Burt (1992) and keeping distances in networks short. This paper proposes a parsimonious model of network formation with introductions and intermediation rents that can explain both these features. Introductions make it cheaper to create ...
Working Paper
The Impact of Merger Legislation on Bank Mergers
We find that stricter merger control legislation increases abnormal announcement returns of targets in bank mergers by 7 percentage points. Analyzing potential explanations for this result, we document an increase in the pre-merger profitability of targets, a decrease in the size of acquirers, and a decreasing share of transactions in which banks are acquired by other banks. Other merger properties, including the size and risk profile of targets, the geographic overlap of merging banks, and the stock market response of rivals appear unaffected. The evidence suggests that the strengthening of ...
Journal Article
Improving Epidemic Modeling with Networks
Many of the models used to track, forecast, and inform the response to epidemics such as COVID-19 assume that everyone has an equal chance of encountering those who are infected with a disease. But this assumption does not reflect the fact that individuals interact mostly within much narrower groups. We argue that incorporating a network perspective, which accounts for patterns of real-world interactions, into epidemiological models provides useful insights into the spread of infectious diseases.