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
Private Digital Cryptoassets as Investment? Bitcoin Ownership and Use in Canada, 2016-2021 Staff working paper 2022-44 Daniela Balutel, Walter Engert, Christopher Henry, Kim Huynh, Marcel Voia We report on the dynamics of Bitcoin awareness and ownership from 2016 to 2021, using the Bank of Canada's Bitcoin Omnibus Surveys (BTCOS). Our analysis also helps understand Bitcoin owners who adopted during the COVID-19 and how they differ from long-term owners. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C12, E, E4, O, O5, O51 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech
Multi-Product Pricing: Theory and Evidence from Large Retailers in Israel Staff working paper 2020-12 Marco Bonomo, Carlos Carvalho, Oleksiy Kryvtsov, Sigal Ribon, Rodolfo Rigato Standard theories of price adjustment are based on the problem of a single-product firm, and therefore they may not be well suited to analyze price dynamics in the economy with multiproduct firms. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D21, D22, E, E3, E31, E5, E52, L, L1, L11 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures
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
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
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
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
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
Partial Identification of Heteroskedastic Structural Vector Autoregressions: Theory and Bayesian Inference Staff working paper 2025-14 Helmut Lütkepohl, Fei Shang, Luis Uzeda, Tomasz Woźniak We consider structural vector autoregressions that are identified through stochastic volatility. Our analysis focuses on whether a particular structural shock can be identified through heteroskedasticity without imposing any sign or exclusion restrictions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C12, C3, C32, E, E6, E62 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
What COVID-19 revealed about the resilience of bond funds Staff analytical note 2020-18 Guillaume Ouellet Leblanc, Ryan Shotlander The liquidity management strategies of fund managers, supported by policy measures, have helped bond funds limit the increase in redemptions caused by COVID 19. This avoided further deterioration in liquidity in bond markets. Nevertheless, these funds were left with lower cash buffers, which could make them more vulnerable to additional large redemptions. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G2, G20, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk