Tail Index Estimation: Quantile-Driven Threshold Selection Staff working paper 2019-28 Jon Danielsson, Lerby Ergun, Casper G. de Vries, Laurens de Haan The most extreme events, such as economic crises, are rare but often have a great impact. It is difficult to precisely determine the likelihood of such events because the sample is small. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C01, C1, C14, C5, C58 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Labor Market Shocks and Monetary Policy Staff working paper 2023-52 Serdar Birinci, Fatih Karahan, Yusuf Mercan, Kurt See We develop a heterogeneous-agent New Keynesian model featuring a frictional labor market with on-the-job search to quantitatively study the positive and normative implications of employer-to-employer transitions for inflation. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E1, E12, E2, E24, E5, E52, J, J3, J31, J6, J62, J64 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Real economy and forecasting
Risk Scenarios and Macroeconomic Forecasts Staff working paper 2025-28 Kevin Moran, Dalibor Stevanovic, Stéphane Surprenant We produce forecasts for four risk scenarios to consider their usefulness for monitoring the Canadian economy. We find a high-oil-price scenario benefits the economy, a US recession induces a slowdown, a tight labor market leads to price increases, and a restrictive monetary policy scenario increases the unemployment rate while lowering the inflation rate. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32, F, F4, F41, F44 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
The contribution of firm profits to the recent rise in inflation Staff analytical note 2023-12 Panagiotis Bouras, Christian Bustamante, Xing Guo, Jacob Short We measure the contribution to inflation from the growth in markups of Canadian firms. The dynamics of inflation and markups suggest that changes in markups could account for less than one-tenth of inflation in 2021. Further, they suggest that peak inflation was driven primarily by changes in the costs of firms. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D2, D22, D4, E, E3, E31, L, L1, L11 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Inflation dynamics and pressures
Potential output in Canada: 2026 assessment Staff analytical paper 2026-19 Alex Chernoff, Christopher Hajzler, Stéphanie Houle, Gabriella Ruggero, Olena Senyuta, Karanbir Sohal, Walter Steingress, Temel Taskin Growth in potential output is expected to drop from 2.3% in 2025 to 1.2% in 2026 given slowing population growth, US tariffs and trade policy uncertainty. It is then estimated to pick up to an average of 1.5% over 2027–29 as strengthening business and government investment supports trend labour productivity (TLP). Gradual adoption of artificial intelligence is also expected to lift TLP growth over the projection horizon. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E2, E3, E4, E5 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
How big is cash-futures basis trading in Canada’s government bond market? Staff analytical note 2024-16 Andreas Uthemann, Rishi Vala Cash-futures basis trading has grown alongside the Government of Canada bond futures market. We examine this growth over time in relation to Government of Canada bond and repurchase agreement markets and provide details on the type of market participants that engage in this type of trading activity. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D4, D47, D5, D53, G, G1, G12, G2, G23 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial stability and systemic risk
Debt-Relief Programs and Money Left on the Table: Evidence from Canada's Response to COVID-19 Staff working paper 2021-13 Jason Allen, Robert Clark, Shaoteng Li, Nicolas Vincent During the COVID-19 pandemic, Canadian financial institutions offered debt-relief programs to help borrowers cope with job losses and economic insecurity. We consider the low take-up rates for these programs and suggest that to be effective, such programs must be visible and easy to use. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G3, G31, H, H5 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Monetary policy, Real economy and forecasting
The potential effect of a central bank digital currency on deposit funding in Canada Staff analytical note 2020-15 Alejandro García, Bena Lands, Xuezhi Liu, Joshua Slive A retail central bank digital currency denominated in Canadian dollars could, in theory, create competition for bank deposit funding. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E4, E41, E44, E5, G, G1, G10, G17, G2, G21, G3, G32, O Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Money and payments, Digital assets and fintech
How changes in the share of constrained households affect the effectiveness of monetary policy Staff analytical note 2024-3 Felipe Alves, Sushant Acharya We measure how the change in the share of constrained households in Canada following the COVID-19 recession has impacted the effectiveness of monetary policy. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E21, E4, E40, E5, E50 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Trading on Long-term Information Staff working paper 2020-20 Corey Garriott, Ryan Riordan Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G14, G2, G20, L, L1 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation