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We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on return variance once we include market illiquidity as an economic variable in the model.

Economists disagree about the factors driving the substantial increase in residual wage inequality in the United States over the past few decades. To identify changes in the returns to unobserved skills, we make a novel assumption about the dynamics of skills (especially among older workers) rather than about the stability of skill distributions across cohorts, as is standard.

We examine local labor markets in the United States and Canada from 1990 to 2011 using comparable household and business data. Wage levels and inequality rise with city population in both countries, albeit less in Canada.

This survey took place between April 28 and May 13, 2022. Follow-up interviews took place in June. Consumers’ expectations for inflation have risen, alongside concerns about prices for food, gas and rent. Short-term expectations are at record-high levels. Long-term inflation expectations increased significantly in the second quarter of 2022, returning to the levels they were at before the COVID-19 pandemic. Most people believe the Bank of Canada can achieve its inflation target. However, some think the process of bringing inflation down will be difficult for the Bank of Canada. Expectations for higher inflation and rising interest rates weigh on consumer confidence. People expect that credit conditions will worsen and wage growth will not keep up with inflation. Flexible work arrangements could attract more people into the labour force.

Central banks in many advanced economies enjoy a high degree of independence, which protects monetary policy decisions from political influence. But how should independent central banks react if pressured by fiscal policy-makers? We examine whether a central bank should design a monetary policy framework that prescribes acting conditionally on how fiscal policy behaves.

I use a search-theoretic model of money to study how open market operations affect the conduct of monetary policy and what this means for households along the wealth distribution. In the model, households vary in the size and composition of their portfolios, which in turn implies that they may be unevenly affected by open market operations.

Chief Operating Office Filipe Dinis outlines how the Bank is strengthening its cyber defenses and helping improve the financial system’s cyber resilience and its ability to recover quickly from attacks.

Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood.

Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.

Growth in potential output is expected to drop from 2.3% in 2025 to 1.2% in 2026 given slowing population growth, US tariffs and trade policy uncertainty. It is then estimated to pick up to an average of 1.5% over 2027–29 as strengthening business and government investment supports trend labour productivity (TLP). Gradual adoption of artificial intelligence is also expected to lift TLP growth over the projection horizon.