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 JEL Code(s): D, D8, D84, E, E3, E31, E7, E71 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
DeFi Lending: Returns, Leverage, and Liquidation Risk Staff analytical paper 2026-13 Jonathan Chiu, Furkan Danisman DeFi lending with proper governance is operationally viable, but it also faces constraints related to capital efficiency, liquidation risk, and systemic fragility within the crypto ecosystem. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E5, E50, E58 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures
June 13, 2013 The Market for Collateral: The Potential Impact of Financial Regulation Financial System Review - June 2013 Jorge Cruz Lopez, Royce Mendes, Harri Vikstedt Content Type(s): Publications, Financial System Review articles
March 14, 2019 The Age of Leverage Remarks Carolyn A. Wilkins UBC Vancouver School of Economics and CFA Society Vancouver Vancouver, British Columbia Senior Deputy Governor Carolyn A. Wilkins discusses how high leverage is both a headwind to global growth and a vulnerability in the global financial system. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Financial system, Financial stability, Monetary policy, Economic models, Economy/Economic growth, Inflation
December 14, 2009 Liquidity Standards in a Macroprudential Context Financial System Review - December 2009 Carol Ann Northcott, Mark Zelmer Content Type(s): Publications, Financial System Review articles
An Empirical Analysis of Bill Payment Choices Staff working paper 2021-23 Anneke Kosse How do Canadians pay their bills? 2019 survey data collected from over 4,000 Canadian consumers show how people’s bill payment choices vary with consumer characteristics and types of bills. The data also reveal that many consumers feel limited in their choices, which suggests that preferences of billers might play an important role as well. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D9, G, G2 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
Non-competing Data Intermediaries Staff working paper 2020-28 Shota Ichihashi I study a model of competing data intermediaries (e.g., online platforms and data brokers) that collect personal data from consumers and sell it to downstream firms. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D4, D42, D43, D8, D80, L, L1, L12 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Economic models, Money and payments, Digital assets and fintech
December 23, 2003 Financial System Review - December 2003 This section of the Financial System Review examines the recent performance of the Canadian financial system and the factors, both domestic and international, that are influencing it. Content Type(s): Publications, Financial Stability Report
We Didn’t Start the Fire: Effects of a Natural Disaster on Consumers’ Financial Distress Staff working paper 2023-15 Anson T. Y. Ho, Kim Huynh, David T. Jacho-Chávez, Geneviève Vallée We use detailed consumer credit data to investigate the impact of the 2016 Fort McMurray wildfire, the costliest wildfire disaster in Canadian history, on consumers’ financial stress. We focus on the arrears of insured mortgages because of their important implications for financial institutions and insurers’ business risk and relevant management practices. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C21, D, D1, D12, G, G2, G21, Q, Q5, Q54 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Structural challenges, Climate change
Macroeconomic Predictions Using Payments Data and Machine Learning Staff working paper 2022-10 James Chapman, Ajit Desai We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Money and payments, Retail payments