How do Canadians perceive access to cash? Staff analytical note 2024-24 Heng Chen, Daneal O’Habib, Hongyu Xiao This paper introduces a subjective measure of cash accessibility in Canada, complementing existing distance-based metrics developed by Chen, O’Habib and Xiao (2023). Analyzing data from the 2023 Methods-of-Payment Survey, this study explores how Canadians perceive their ease of accessing cash from automated banking machines (ABMs) and financial institution branches. Content Type(s): Staff research, Staff analytical notes JEL Code(s): J, J1, J15, O, O1, R, R5, R51 Research Theme(s): Money and payments, Cash and bank notes
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
November 11, 2008 The Role of Dealers in Providing Interday Liquidity in the Canadian-Dollar Market Bank of Canada Review - Winter 2008-2009 Chris D'Souza Access to information about the future direction of the exchange rate can be extremely valuable in the foreign exchange market. Evidence presented in this article suggests that Canadian dealers are more likely to provide interday liquidity to foreign, rather than Canadian, financial customers, since foreign financial flows can be more informative about future movements in the exchange rate. The author reveals a statistical relationship between the supply of liquidity provided by non-financial firms and that provided by dealing institutions across time, and across markets, and suggests that the relationship between the positions of commercial clients and market-makers, and the role played by dealers in interday liquidity provision, has been understated in the market microstructure literature. Content Type(s): Publications, Bank of Canada Review articles
Are Counterparty Arrangements in Reinsurance a Threat to Financial Stability? Staff working paper 2016-39 Matt Davison, Darrell Leadbetter, Bin Lu, Jane Voll Interconnectedness among insurers and reinsurers at a global level is not well understood and may pose a significant risk to the sector, with implications for the macroeconomy. Models of the complex interactions among reinsurers and with other participants in the financial system and the real economy are at a very early stage of development. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, G, G1, G10, G15, G18, G2, G22, G28 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk
June 21, 2009 Procyclicality and Compensation Financial System Review - June 2009 Étienne Bordeleau, Walter Engert Content Type(s): Publications, Financial System Review articles
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
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
November 13, 2015 Innovation, Central-Bank Style Remarks Carolyn A. Wilkins Rotman School of Management and Munk School of Global Affairs Toronto, Ontario Senior Deputy Governor Wilkins discusses how the Bank is tackling the most important strategic challenges facing central banks today and how innovative thinking is critical to its success. Content Type(s): Press, Speeches and appearances, Remarks
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
Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities Staff analytical note 2018-6 Thibaut Duprey When financial system vulnerabilities are elevated, they can give rise to asymmetric risks to the economic outlook. To illustrate this, I consider the economic outlook presented in the Bank of Canada’s October 2017 Monetary Policy Report in the context of two key financial system vulnerabilities: high levels of household indebtedness and housing market imbalances. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C0, C01, C1, C11, C15, E, E1, E17, E3, E32, E37, E4, E44, E47, E5, E58, E6, E66, G, G0, G01, G1, G18 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting