August 21, 2002 Monetary Policy and Uncertainty Bank of Canada Review - Summer 2002 Paul Jenkins, David Longworth Central banks must cope with considerable uncertainty about what will happen in the economy when formulating monetary policy. This article describes the different types of uncertainty that arise and looks at examples of uncertainty that the Bank has recently encountered. It then reviews the strategies employed by the Bank to deal with this problem. The other articles in this special issue focus on three of these major strategies. Content Type(s): Publications, Bank of Canada Review articles
Quantile VARs and Macroeconomic Risk Forecasting Staff working paper 2025-4 Stéphane Surprenant This paper provides an extensive evaluation of the performance of quantile vector autoregression (QVAR) to forecast macroeconomic risk. Generally, QVAR outperforms standard benchmark models. Moreover, QVAR and QVAR augmented with factors perform equally well. Both are adequate for modeling macroeconomic risks. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C53, C55, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Can the Common-Factor Hypothesis Explain the Observed Housing Wealth Effect? Staff working paper 2016-62 Narayan Bulusu, Jefferson Duarte, Carles Vergara-Alert The common-factor hypothesis is one possible explanation for the housing wealth effect. Under this hypothesis, house price appreciation is related to changes in consumption as long as the available proxies for the common driver of housing and non-housing demand are noisy and housing supply is not perfectly elastic. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, R, R3, R31 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
Noisy Monetary Policy Staff working paper 2018-23 Tatjana Dahlhaus, Luca Gambetti We introduce limited information in monetary policy. Agents receive signals from the central bank revealing new information (“news") about the future evolution of the policy rate before changes in the rate actually take place. However, the signal is disturbed by noise. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C18, C3, C32, E, E0, E02, E4, E43, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Blockchain-Based Settlement for Asset Trading Staff working paper 2018-45 Jonathan Chiu, Thorsten Koeppl Can securities be settled on a blockchain and, if so, what are the gains relative to existing settlement systems? We consider a blockchain that ensures delivery versus payment by linking transfers of assets with payments and operates using a proof-of-work protocol. The main benefit of a blockchain is faster and more flexible settlement, whereas the challenge is to avoid settlement fails when participants fork the chain to get rid of trading losses. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G2, H, H4, P, P4, P43 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures
June 21, 2009 Procyclicality and Compensation Financial System Review - June 2009 Étienne Bordeleau, Walter Engert Content Type(s): Publications, Financial System Review articles
The Evolution of the Chinese Housing Market and Its Impact on Base Metal Prices Staff discussion paper 2016-7 Mark Kruger, Kun Mo, Benjamin Sawatzky The Chinese housing market has grown rapidly following its liberalization in the 1990s, generating significant economic activity and demand for base metals. In this paper, we discuss the evolution of the Chinese housing market and quantify its importance for the overall Chinese economy and its linkages to base metal prices. Content Type(s): Staff research, Staff discussion papers JEL Code(s): Q, Q3, Q31, R, R3, R31 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
2020 US Neutral Rate Assessment Staff discussion paper 2020-12 James Bootsma, Thomas J. Carter, Xin Scott Chen, Christopher Hajzler, Argyn Toktamyssov This paper presents Bank of Canada staff’s current assessment of the US neutral rate, along with a newly developed set of models on which that assessment is based. The overall assessment is that the US neutral rate currently lies in a range of 1.75 to 2.75 percent. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E4, E40, E43, E5, E50, E52, E58, F, F4, F41 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
BoC–BoE Sovereign Default Database: Appendix and References Technical report No. 125 David Beers, Obiageri Ndukwe, Joe Berry Since 2014, the Bank of Canada (BoC) has maintained a comprehensive database of sovereign defaults to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. The database is posted on the BoC’s website and is updated annually in partnership with the Bank of England (BoE). Content Type(s): Staff research, Technical reports JEL Code(s): F, F3, F34, G, G1, G10, G14, G15 Research Theme(s): Financial markets and funds management, Funds management, Financial system, Financial stability and systemic risk
Monetary Policy in a Volatile World: ToTEM Simulations Staff analytical paper 2026-27 Edward Booth, Edouard Djeutem, Oleksiy Kryvtsov, Fanny McKellips, Yang Zhang Using simulations of the Bank of Canada’s projection model, we assess inflation risks from greater supply-shock volatility and show that monetary policy faces sharper trade-offs, as stabilizing inflation increasingly comes at the cost of weaker real activity. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E3, E31, E32, E5, E52, E58 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission