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535 Results

March 16, 2008

Developing a Framework to Assess Financial Stability: Conference Highlights and Lessons

Central banks are still defining their approach to financial stability and are at an early stage in the development of useful models. The Bank of Canada's 2007 economic conference was organized to stimulate progress in the development of financial-stability frameworks. Among the highlights reported here are the discussions centred around three proposed frameworks: a contingent-claims-analysis framework, a semi-structural framework, and structural financial-stability models. Participants also reported on their experiences with stress-testing under the International Monetary Fund's Financial Sector Assessment Program and discussed the implications for financial stability of linkages among payment, clearing, and settlement systems.
August 25, 2020

Perceived inflation and reality: understanding the difference

Remarks (delivered virtually) Lawrence L. Schembri Canadian Association for Business Economics Kingston, Ontario
In a virtual address to the Canadian Association for Business Economics, Deputy Governor Lawrence Schembri discusses the difference between how Canadians perceive inflation and the actual measured rate. He explains why that gap may exist and what it could mean for monetary policy and the economy.

Strategic Uncertainty in Financial Markets: Evidence from a Consensus Pricing Service

Staff working paper 2020-55 Lerby Ergun, Andreas Uthemann
We look at the informational content of consensus pricing in opaque over-the-counter markets. We show that the availability of price data informs participants mainly about other participants’ valuations, rather than about the value of a financial security.

CANVAS: A Canadian Behavioral Agent-Based Model

The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis.

GDP by Industry in Real Time: Are Revisions Well Behaved?

Staff analytical note 2018-40 Patrick Rizzetto
The monthly data for real gross domestic product (GDP) by industry are used extensively in real time both to ground the Bank of Canada’s monitoring of economic activity and in the Bank’s nowcasting tools, making these data one of the most important high-frequency time series for Canadian nowcasting.

Behavioral Learning Equilibria in New Keynesian Models

Staff working paper 2022-42 Cars Hommes, Kostas Mavromatis, Tolga Özden, Mei Zhu
We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.
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