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Working Paper
Collateral Reuse and Financial Stability
The isolated effects of collateral reuse on financial stability are ambiguous and understudied. While greater collateral reuse can guarantee more payments with fewer assets, it can also increase the exposure to potential drops in collateral price. To analyze these tradeoffs, we develop a financial network model with endogenous asset pricing, multiple equilibria, and equilibrium selection. We find that more collateral reuse decreases the likelihood of the worst equilibrium (crisis), with varying effects depending on the network structure. Therefore, collateral reuse can unambiguously improve ...
Working Paper
Cyber Vulnerabilities at Large US Financial Institutions and Their Third-Party Service Providers
This paper examines cyber vulnerabilities across the 100 largest US banks, non-bank financial institutions (NBFIs), and their third-party service providers. Our analysis, based on a proprietary cyber risk analytics model, shows NBFIs exhibit greater cyber vulnerabilities than banks, though banks face larger relative losses from routine incidents. We identify third-party service providers as a hidden cyber fault line in the financial system, often having greater vulnerabilities than the institutions they serve and creating systemic risks. Scenario analyses of catastrophic cyber events ...
Working Paper
Settlement Speed and Financial Stability
This paper investigates how settlement speed affects financial stability in payment networks, accounting for netting benefits, liquidity costs, and counterparty risks. Faster settlement reduces crisis likelihood but amplifies crisis severity. The net welfare effect depends on network topology and proximity to default threshold points—settlement times at which the number of defaulting agents changes discontinuously. The optimal settlement speed is not universal: it depends on payment network structure and liquidity conditions. Deteriorating liquidity shifts the optimum toward slower ...
Working Paper
Settlement Speed and Financial Stability
This paper investigates how settlement speed affects financial stability in payment networks, taking into account netting benefits, liquidity costs, and counterparty risks. Our analysis reveals that faster settlements have ambiguous effects on systemic risk and social welfare. The optimal settlement speed is determined by the network structure and the trade-off between netting efficiency and liquidity costs on one hand, and the probability of counterparty defaults on the other. Notably, we identify conditions, particularly under liquidity stress, where faster settlement can paradoxically ...
Working Paper
Collateralized Debt Networks with Lender Default
The Lehman Brothers' 2008 bankruptcy spread losses to its counterparties even when Lehman was a lender of cash, because collateral for that lending was tied up in the bankruptcy process. I study the implications of such lender default using a general equilibrium network model featuring endogenous leverage, endogenous asset prices, and endogenous network formation. The multiplex graph model has two channels of contagion: a counterparty channel of contagion and a price channel of contagion through endogenous collateral price. Borrowers diversify their lenders because of the counterparty risk, ...
Working Paper
The Effect of the Central Bank Liquidity Support during Pandemics: Evidence from the 1918 Spanish Influenza Pandemic
The coronavirus outbreak raises the question of how central bank liquidity support affects financial stability and promotes economic recovery. Using newly assembled data on cross-county flu mortality rates and state-charter bank balance sheets in New York, we investigate the effects of the 1918 Influenza Pandemic on the banking system and the role of the Federal Reserve during the pandemic. We find that banks located in more severely affected areas experienced deposit withdrawals. Banks which were members of the Federal Reserve were able to access central bank liquidity and so continue or ...
Working Paper
Moldy Lemons and Market Shutdowns
This paper studies competitive market shutdowns due to adverse selection, where sellers post nonexclusive menus of contracts. We first show that the presence of the worst type of agents (moldy lemons) causes markets to fail only if their mass is sufficiently large. We then show that a small mass of moldy lemons can lead to a large cascade of exits when buyers possess outside options. Our results suggest a parsimonious way of generating sudden market shutdowns without relying on institutional details or imposing additional structure on the model. Thus, the simple insights on the properties of ...
Working Paper
Labor Market Tightness during WWI and the Postwar Recession of 1920-1921
The U.S. economy entered the 1920s with a robust job market and high inflation but fell into a recession following the Federal Reserve's discount rate hikes to tame inflation. Using a newly constructed data set, we study labor market dynamics during this period. We find that labor markets were tight when the Federal Reserve began tightening monetary policy, but they became loose following the tightening as the recession deepened. The demand-supply imbalance in the labor market was driven by a sharp decline in the number of job openings. We also show that the recession had an uneven effect on ...
Working Paper
Information Externalities, Funding Liquidity, and Fire Sales
We develop a theory of learning in a model of fire sales and collateralized debt to study how beliefs about fundamentals are shaped by market conditions. Agents exchange short-term debt contracts to invest in a long-term risky asset, and receive shocks to the opportunity cost of funds (cost shocks) and news about the fundamental of the asset, both of which are private information. Asset prices play a dual role of clearing markets and conveying agents' private information, but markets are informationally inefficient: Agents can partially, but never fully, infer their counterparties' private ...
Working Paper
Contagion in Debt and Collateral Markets
This paper investigates contagion in financial networks through both debt and collateral markets. We find that the role of collateral is mitigating counterparty exposures and reducing contagion but has a phase transition property. Contagion can change dramatically depending on the amount of collateral relative to the debt exposures. When there is an abundance of collateral (leverage is low), then collateral can fully cover debt exposures, and the network structure does not matter. When there is an adequate amount of collateral (leverage is moderate), then collateral can mitigate counterparty ...