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This paper introduces CLONE, a method that decomposes asset price movements into aggregate demand, productivity, inflation, and monetary policy news, using stocks, bonds, and inflation swaps. CLONE simplicity and forward-looking focus helps guide policymakers in determining the economic drivers behind asset price movements.

This paper examines the implications of positive news about future asset values that turn out to be incorrect at a later date in an open economy model with banking. The model captures the patterns of bank credit and current account dynamics in Spain between 2000 and 2010. The model finds that the use of unconventional policies leads to a milder bust.

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.

Canada plans to adopt a retail payment system to allow Canadians to pay in real time (or near real time) 24 hours a day, 7 days a week. However, the traditional model for setting the overnight interest rate does not operate 24/7.

We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

Canadian interest rates show a secular decline since the 1980s. Long-term survey-based forecasts of interest rates also declined, but less so and were more gradual. Our model-based estimates show an endpoint shifting over time in three phases: a decline between 1990 and 1995, a period of stability between 1996 and 2007, and a further decline since 2008. The current endpoint estimate remains clouded with uncertainty; this is an active area of research.

Equilibrium bond-pricing models rely on inflation being bad news for future growth to generate upward-sloping nominal yield curves. We develop a model that can generate upward-sloping nominal and real yield curves by instead using ambiguity about inflation and growth.

Cash gives users a high level of privacy when making payments, but the use of cash to make payments is declining. People increasingly use debit cards, credit cards or other methods to pay.

Household debt can be an important source of vulnerability to the financial system. This technical report describes the Household Risk Assessment Model (HRAM) that has been developed at the Bank of Canada to stress test household balance sheets at the individual level.

Inflation can affect both the dispersion of commodity-specific price levels across locations (relative price variability, RPV) and the dispersion of inflation rates (relative inflation variability, RIV). Some menu-cost models and models of consumer search suggest that the RIV-inflation relationship could differ from the RPV-inflation relationship.