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Our stress-testing tool considers banks under stress that can strategically manage their balance sheets. Using confidential Canadian supervisory data, we assess whether bank behaviour to maximize shareholder value can amplify a hypothetical stress scenario.

We study the interaction between epidemics and economic decisions in a model that has silent transmission of the virus. We find that rational behaviour strongly diminishes the severity of the epidemic but worsens the economic recession. We also find that the detection and isolation of not only symptomatic individuals but also those who are infected and asymptomatic or mildly symptomatic can reduce the severity of the recession caused by the pandemic.

Bank regulation presumes risks spill over more easily from large banks to the banking system than vice versa. Interestingly, we observe this is not the case. We find that the capacity to transmit risk is larger in the system-to-bank direction, leading to an increased default risk.

Repo market imbalances can be large and persistent, and can lift the cost of short-term funding in Canada, including the CORRA benchmark. Banks’ holdings of settlement balances absorbed most of the repo imbalances during QE, but have become far less central by the end of QT.

How do outcomes of monetary and fiscal stabilization policies at the zero lower bound change when decision makers have finite planning horizons in the economy? We explore the effects of limited foresight on policy tools and the interaction between monetary and fiscal policy.

We quantify the effects of large-scale stock purchases by a central bank and compare these to bond purchases. We find that the central bank’s equity purchases would lower the risk and term premiums on stocks and long-term bonds, respectively, and thereby stimulate economic activity.

We analyze monetary policy responses to AI in a two-sector New Keynesian model, distinguishing augmentation and automation. Both reduce labor demand, requiring accommodation that creates inflation trade-offs. Automation worsens them. Aggregate inflation depends on AI’s form and breadth, making policy stabilization more complex and aggregate data potentially misleading.

We model the introduction of a new payment method, e.g., e-money, that competes with an existing payment method, e.g., cash. The new payment method involves relatively lower per-transaction costs for both buyers and sellers, but sellers must pay a fixed fee to accept the new payment method.

This paper studies optimal need-based financial aid when parental transfers—unobserved by policymakers—vary across and within families of similar means. Using data on U.S. college students, I document substantial inequality in parental transfers, especially among wealthier families. I then analyze how this affects aid design aimed at reducing inefficiencies from borrowing constraints and the aid itself.

Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately.