How Do Agents Form Macroeconomic Expectations? Evidence from Inflation Uncertainty Staff Working Paper 2024-5 Tao Wang The uncertainty regarding inflation that is observed in density forecasts of households and professionals helps macroeconomists understand the formation mechanism of inflation expectations. Shocks to inflation take time to be perceived by all agents in the economy, and such rigidity is lower in a high-inflation environment. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Inflation and prices, Monetary policy and uncertainty JEL Code(s): D, D8, D84, E, E3, E31, E7, E71
How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables Staff Working Paper 2007-1 John Galbraith, Greg Tkacz For stationary transformations of variables, there exists a maximum horizon beyond which forecasts can provide no more information about the variable than is present in the unconditional mean. Meteorological forecasts, typically excepting only experimental or exploratory situations, are not reported beyond this horizon; by contrast, little generally accepted information about such maximum horizons is available for economic variables. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C5, C53
CANVAS: A Canadian Behavioral Agent-Based Model Staff Working Paper 2022-51 Cars Hommes, Mario He, Sebastian Poledna, Melissa Siqueira, Yang Zhang 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. Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Econometric and statistical methods, Economic models, Firm dynamics, Inflation and prices JEL Code(s): C, D, D2, D22, D8, D83, E, E1, E17
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. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial markets, Market structure and pricing JEL Code(s): C, C5, C58, D, D5, D53, D8, D83, G, G1, G12, G14
January 11, 2009 Bank of Canada Review - Winter 2008-2009 Cover page Chargex The artefacts on the cover are part of the National Currency Collection of the Bank of Canada. Photography by Gord Carter Content Type(s): Publications, Bank of Canada Review
August 11, 1999 Preparations by the Canadian Financial Sector for the Year 2000 Bank of Canada Review - Summer 1999 Clyde Goodlet This article outlines the extensive work undertaken by the various participants in Canada's financial sector to ensure "business as usual" heading into January 2000 and beyond. The article looks at preparations in the Bank of Canada's own mission-critical systems and at those of the country's major clearing and settlement systems for which the Bank has oversight responsibility. It also looks at the steps taken by the financial institutions themselves. Contingency planning that takes account of specific year-2000 concerns is also reviewed. Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Financial institutions
Should the Central Bank Issue E-money? Staff Working Paper 2018-58 Charles M. Kahn, Francisco Rivadeneyra, Tsz-Nga Wong Should a central bank take over the provision of e-money, a circulable electronic liability? We discuss how e-money technology changes the tradeoff between public and private provision, and the tradeoff between e-money and a central bank's existing liabilities like bank notes and reserves. Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Digital currencies and fintech, Financial services, Payment clearing and settlement systems JEL Code(s): E, E4, E42, E5, E51, E58
Housing demand in Canada: A novel approach to classifying mortgaged homebuyers Staff Analytical Note 2022-1 Mikael Khan, Yang Xu We introduce a novel approach to categorize mortgaged homebuyers into first-time homebuyers, repeat homebuyers and investors. We show how these groups contribute to activity in Canadian housing markets, and we analyze the differences in their demographic and financial characteristics. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Financial stability, Housing JEL Code(s): R, R2, R21, R3, R31
December 16, 2001 Risk Management in the Exchange Fund Account Bank of Canada Review - Winter 2001–2002 Michel Rochette In this article, author Michel Rochette of the Bank's Risk-Management Unit briefly describes the initiatives undertaken to identify, analyze, model, and manage the principal risks inherent in the transactions of the Exchange Fund Account (EFA), where the international reserves of the federal government are held. The author focuses on five types of risk: credit risk, market risk, liquidity risk, operational risk, and legal risk. In addition, the author presents the risk-management principles underlying the activities of the EFA and the governance structure of the Account. Content Type(s): Publications, Bank of Canada Review articles
The Bank of Canada's New Quarterly Projection Model, Part 3. The Dynamic Model: QPM Technical Report No. 75 Donald Coletti, Benjamin Hunt, David Rose, Robert Tetlow The Bank of Canada's new Quarterly Projection Model, QPM, combines the short-term dynamic properties necessary to support regular economic projections with the consistent behavioural structure necessary for policy analysis. Content Type(s): Staff research, Technical reports Research Topic(s): Economic models JEL Code(s): C, C5, C53, E, E1, E17