November 8, 2016 Wood, Wheat, Wheels and the Web: Historical Pivots and Future Prospects for Canadian Exports Remarks Lawrence L. Schembri Atlantic Institute for Market Studies Halifax, Nova Scotia Deputy Governor Lawrence Schembri discusses the historical evolution and future prospects for Canadian exports. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Financial system, Financial markets, Financial stability, Monetary policy, Economy/Economic growth
The Usage of Security Lending Facilities under Unconventional Monetary Policy: Evidence from Sweden Staff working paper 2026-9 Marianna Blix Grimaldi, Fabienne Schneider, David Vestin This paper examines the interaction between quantitative easing (QE) and the securities lending facility (SLF) using a detailed dataset on Riksbank QE purchases, Swedish DMO SLF transactions and OTC repo deals. A theoretical model further shows how excess demand for assets and search frictions shift the SLF from a backstop to a first-resort tool. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, E58, G, G2, G21 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation, Monetary policy, Monetary policy tools and implementation
October 8, 2009 Central Banking in Canada: Meeting Today's and Tomorrow's Challenges Remarks Paul Jenkins Vancouver Board of Trade Vancouver, British Columbia Indeed, the global financial crisis of the past two years has presented unique, stressful challenges that have forced us all to assess what has worked well and what needs to change. Today, I would like to review some of the critical thinking around these issues, primarily from the perspective of our work at the Bank of Canada. Content Type(s): Press, Speeches and appearances, Remarks
The Financial Origins of Non-fundamental Risk Staff working paper 2022-4 Sushant Acharya, Keshav Dogra, Sanjay Singh We explore the idea that the financial sector can be a source of non-fundamental risk to the rest of the economy. We also consider whether policy can be used to reduce this risk—either by increasing the supply of publicly backed safe assets or by reducing the demand for safe assets. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D5, D52, D8, D84, E, E6, E62, G, G1, G10, G12 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Household and business credit, Monetary policy, Monetary policy tools and implementation
Monetary Policy Transmission with Endogenous Central Bank Responses in TANK Staff working paper 2025-21 Lilia Maliar, Chris Naubert We study how the transmission of monetary policy innovations is affected by the endogenous response of the central bank to macroeconomic aggregates in a two-agent New Keynesian model. We focus on how the stance of monetary policy and the fraction of savers in the economy affect transmission. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C62, C63, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
The Central Bank’s Dilemma: Look Through Supply Shocks or Control Inflation Expectations? Staff working paper 2022-41 Paul Beaudry, Thomas J. Carter, Amartya Lahiri When countries are hit by supply shocks, central banks often face the dilemma of either looking through such shocks or reacting to them to ensure that inflation expectations remain anchored. In this paper, we propose a tractable framework to capture this dilemma and then explore optimal policy under a range of assumptions about how expectations are formed. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E1, E12, E2, E24, E3, E31, E5, E52, E58, E6, E65 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Monetary Policy Tradeoffs Between Financial Stability and Price Stability Staff working paper 2016-49 Malik Shukayev, Alexander Ueberfeldt We analyze the impact of interest rate policy on financial stability in an environment where banks can experience runs on their short-term liabilities, forcing them to sell assets at fire-sale prices. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D6, D62, E, E3, E32, E4, E44, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy framework and transmission
Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning Staff working paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C52, C6, C65, C8, C81, E, E4, E42, E5, E51 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes
A Generalized Endogenous Grid Method for Default Risk Models Staff working paper 2021-11 Youngsoo Jang, Soyoung Lee Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models
Identifying Nascent High-Growth Firms Using Machine Learning Staff working paper 2023-53 Stéphanie Houle, Ryan Macdonald Firms that grow rapidly have the potential to usher in new innovations, products or processes (Kogan et al. 2017), become superstar firms (Haltiwanger et al. 2013) and impact the aggregate labour share (Autor et al. 2020; De Loecker et al. 2020). We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C55, C8, C81, L, L2, L25 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity