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2166 Results

Balancing Act: Monetary Policy Responses to Natural Disasters

Staff working paper 2026-28 Tatjana Dahlhaus, Alexander Ueberfeldt, Malik Shukayev
Natural disasters can create important challenges for monetary policy in resource-rich small open economies. Using a DSGE model calibrated to Canada, we show that most disasters operate as adverse supply shocks, lowering output and raising inflation, thereby creating a trade-off for monetary policy.

2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation

Technical report No. 114 Heng Chen, Marie-Hélène Felt, Christopher Henry
This technical report describes sampling, weighting and variance estimation for the Bank of Canada’s 2017 Methods-of-Payment Survey. Under quota sampling, a raking ratio method is implemented to generate weights with both post-stratification and nonparametric nonresponse weight adjustments.

On-the-run Premia, Settlement Fails, and Central Bank Access

Staff working paper 2025-19 Fabienne Schneider
The premium on “on-the-run” Treasuries is an anomaly. I explain it using a model in which primary dealers hold inventories of Treasuries. I use the model to analyze the effects of granting access to central bank facilities.
November 21, 2004

Summary of the G-20 Workshop on Developing Strong Domestic Financial Markets, 26-27 April 2004

G-20 representatives, academics, market participants, and members of international financial institutions were brought together in Ottawa to explore the connection between robust financial markets and economic growth and development, share experiences, and to develop policy recommendations, where possible. Participants identified several areas they deemed critical for fostering strong domestic financial markets and reducing external vulnerability: sound macroeconomics policies, strengthened financial infrastructures and banking systems, and exchange rate flexibility for countries with widely open capital accounts. Papers presented in the six sessions and keynote address highlighted a number of issues, including currency mismatches, the sequence of financial liberalization and supervisory reforms, the development of local financial markets, infrastructure building and governance, and appropriate incentives.

Anticipated Technology Shocks: A Re‐Evaluation Using Cointegrated Technologies

Staff working paper 2017-11 Joel Wagner
Two approaches have been taken in the literature to evaluate the relative importance of news shocks as a source of business cycle volatility. The first is an empirical approach that performs a structural vector autoregression to assess the relative importance of news shocks, while the second is a structural-model-based approach.

Time-Varying Crash Risk: The Role of Stock Market Liquidity

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.
July 4, 2022

Canadian Survey of Consumer Expectations—Second Quarter of 2022

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.

Tail Index Estimation: Quantile-Driven Threshold Selection

The most extreme events, such as economic crises, are rare but often have a great impact. It is difficult to precisely determine the likelihood of such events because the sample is small.
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