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
June 21, 2009 Procyclicality and Compensation Financial System Review - June 2009 Étienne Bordeleau, Walter Engert Content Type(s): Publications, Financial System Review articles
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
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
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
Assessing the Impact of the Bank of Canada’s Government Bond Purchases Staff discussion paper 2024-5 Chinara Azizova, Jonathan Witmer, Xu Zhang In March 2020, the Bank of Canada implemented the Government of Canada Bond Purchase Program, eventually purchasing approximately $340 billion of government bonds. In this paper, we analyze the impact of this program on financial market prices and yields as well as on GDP and inflation. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E5, E52, E58, G, G2, G21, G28 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Monetary policy tools and implementation, Real economy and forecasting
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
The BoC-BoE Sovereign Default Database Revisited: What’s New in 2018? Staff working paper 2018-30 David Beers, Jamshid Mavalwalla Until recently, there have been few efforts to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada’s Credit Rating Assessment Group (CRAG) has developed a comprehensive database of sovereign defaults posted on the Bank of Canada’s website that now is updated in partnership with the Bank of England. Content Type(s): Staff research, Staff working papers 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
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