What Drives Interbank Loans? Evidence from Canada Staff working paper 2018-5 Narayan Bulusu, Pierre Guérin We identify the drivers of unsecured and collateralized loan volumes, rates and haircuts in Canada using the Bayesian model averaging approach to deal with model uncertainty. Our results suggest that the key friction driving behaviour in this market is the collateral reallocation cost faced by borrowers. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C55, E, E4, E43, G, G2, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Monetary policy, Monetary policy framework and transmission
Climate Variability and International Trade Staff working paper 2023-8 Geoffrey R. Dunbar, Walter Steingress, Ben Tomlin This paper quantifies the impact of hurricanes on seaborne international trade to the United States. Matching the timing of hurricane–trade route intersections with monthly U.S. port-level trade data, we isolate the unanticipated effects of a hurricane hitting a trade route using two separate identification schemes: an event study and a local projection. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C22, C5, F, F1, F14, F18, Q, Q5, Q54 Research Theme(s): Structural challenges, Climate change, International trade, finance and competitiveness
February 1, 2012 Excess Collateral in the LVTS: How Much Is Too Much? Financial System Review - December 2003 Kim McPhail, Anastasia Vakos Content Type(s): Publications, Financial System Review articles
Predicting Payment Migration in Canada Staff working paper 2020-37 Anneke Kosse, Zhentong Lu, Gabriel Xerri Developments are underway to replace Canada’s two core payment systems with three new systems. We use a discrete choice model to predict migration patterns of end-users and financial institutions for future systems and discuss their policy implications. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, E, E4, E42, G, G1, G2, G28 Research Theme(s): Money and payments, Payment and financial market infrastructures, Retail payments
Assessing global potential output growth: April 2026 Staff analytical paper 2026-20 Daniel de Munnik, Kristina Hess, Walter Muiruri, Tuuli McCully, Faiza Noor, Sabreena Obaid, Andrew Plummer, Louis Poirier, Abeer Reza, Jillian Schwartz We present the annual update of the Bank of Canada staff estimates for global potential output growth. These estimates served as key inputs to the analysis supporting the April 2026 Monetary Policy Report. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E1, E2, F, F0, F1, O, O3, O33, O4 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
Bank Screening Heterogeneity Staff working paper 2016-56 Thibaut Duprey Production efficiency and financial stability do not necessarily go hand in hand. With heterogeneity in banks’ abilities to screen borrowers, the market for loans becomes segmented and a self-competition mechanism arises. When heterogeneity increases, the intensive and extensive margins have opposite effects. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G14, G2, G21, L, L1, L13 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Household and business credit
August 16, 2012 Measurement Bias in the Canadian Consumer Price Index: An Update Bank of Canada Review - Summer 2012 Patrick Sabourin The consumer price index (CPI) is the most commonly used measure to track changes in the overall level of prices. Since it departs from a true cost-of-living index, the CPI is subject to four types of measurement bias—commodity substitution, outlet substitution, new goods and quality adjustment. The author updates previous Bank of Canada estimates of measurement bias in the Canadian CPI by examining these four sources of potential bias. He finds the total measurement bias over the 2005–11 period to be about 0.5 percentage point per year, consistent with the Bank’s earlier findings. Slightly more than half of this bias is caused by the fixed nature of the CPI basket of goods and services. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E3, E31, E5, E52
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
Quantitative Easing in a Small Open Economy: An International Portfolio Balancing Approach Staff working paper 2016-55 Serdar Kabaca This paper studies the effects of quantitative easing (QE) in a small open economy dynamic stochastic general-equilibrium model with international portfolio balancing. Portfolios are classified as imperfectly substitutable short-term and long-term subportfolios, each including domestic and foreign bonds. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, F, F4, F41 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy tools and implementation, Structural challenges, International trade, finance and competitiveness
Privacy in CBDC technology Staff analytical note 2020-9 Sriram Darbha, Rakesh Arora Privacy is a key aspect of a potential central bank digital currency system. We outline different technical choices to enact various privacy models while complying with the appropriate regulations. We develop a framework to evaluate privacy models and list key risks and trade-offs in privacy design. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E4, E42, E5, E51, O, O3 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures