Canadian Financial Stress and Macroeconomic Conditions Staff discussion paper 2020-4 Thibaut Duprey Severe disruptions in the financial markets, as observed during the 2008 global financial crisis or the COVID-19 pandemic, can impair the stability of the entire financial system and worsen macroeconomic downturns. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C3, C32, E, E4, E44, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Real economy and forecasting
Housing and Tax-Deferred Retirement Accounts Staff working paper 2016-24 Anson T. Y. Ho, Jie Zhou Assets in tax-deferred retirement accounts (TDA) and housing are two major components of household portfolios. In this paper, we develop a life-cycle model to examine the interaction between households’ use of TDA and their housing decisions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, D, D1, D14, D9, D91, E, E2, E21, H, H2, H24, R, R2, R21 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
December 20, 2010 Strengthening the Infrastructure of Over-the-Counter Derivatives Markets Financial System Review - December 2010 Carolyn A. Wilkins, Elizabeth Woodman Content Type(s): Publications, Financial System Review articles
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
December 8, 2006 Perspectives on Productivity and Potential Output Growth: A Summary of the Joint Banque de France/Bank of Canada Workshop, 24–25 April 2006 Bank of Canada Review - Winter 2006-2007 Gilbert Cette, Donald Coletti A nation's productivity is the prime determinant of its real incomes and standard of living, as well as being a major determinant of its potential output. In the short run, deviations of actual output from potential output are a useful indicator of inflationary pressures. This article is a short summary of the proceedings of the workshop, which focus on productivity and potential output growth among industrialized countries. The research is organized under three main themes: estimating potential growth; productivity and growth; and institutions, policies, and growth. Content Type(s): Publications, Bank of Canada Review articles
Differentiable, Filter Free Bayesian Estimation of DSGE Models Using Mixture Density Networks Staff working paper 2025-3 Chris Naubert I develop a method for Bayesian estimation of globally solved, non-linear macroeconomic models. The method uses a mixture density network to approximate the initial state distribution. The mixture density network results in more reliable posterior inference compared with the case when the initial states are set to their steady-state values. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C63, E, E3, E37, E4, E47 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models
Net Send Limits in the Lynx Payment System: Usage and Implications Staff discussion paper 2025-13 Virgilio B Pasin, Anna Wyllie We study how participants in the Lynx payment system use the net send limit (NSL) tool to control their intraday payment outflow levels. Our results show that participants typically adopt a “set it and forget it” approach to scheduling NSLs and sometimes have distinct intraday NSL adjustment behaviours. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C1, C10, D, D8, D82, E, E4, E42, E5, E58, G, G2, G21, G4, G41 Research Theme(s): Financial system, Financial institutions and intermediation, Money and payments, Payment and financial market infrastructures
Improving the Efficiency of Payments Systems Using Quantum Computing Staff working paper 2022-53 Christopher McMahon, Donald McGillivray, Ajit Desai, Francisco Rivadeneyra, Jean-Paul Lam, Thomas Lo, Danica Marsden, Vladimir Skavysh We develop an algorithm and run it on a hybrid quantum annealing solver to find an ordering of payments that reduces the amount of system liquidity necessary without substantially increasing payment delays. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C63, D, D8, D83, E, E4, E42, E5, E58 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures
The Bank of Canada’s “Horse Race” of Alternative Monetary Policy Frameworks: Some Interim Results from Model Simulations Staff discussion paper 2021-13 José Dorich, Rhys R. Mendes, Yang Zhang Bank of Canada staff are running a “horse race” of alternative monetary policy frameworks in the lead-up to 2021 renewal of the Bank’s monetary policy framework. This paper summarizes some interim results of model simulations from their research. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E2, E27, E3, E4, E5, E52, E58 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Machine learning for economics research: when, what and how Staff analytical note 2023-16 Ajit Desai This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used. Content Type(s): Staff research, Staff analytical notes JEL Code(s): A, A1, A10, B, B2, B23, C, C4, C45, C5, C55 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity