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
September 13, 2006 Weathering Economic Shocks: The Importance of Flexibility Remarks Paul Jenkins Vancouver Board of Trade Vancouver, British Columbia First, I should explain what I mean by flexibility. As most of you are surely aware, the Bank of Canada has been openly discussing the importance of promoting policies that support economic efficiency, including financial system efficiency. Efficiency refers to the allocation of scarce economic resources to the most productive uses, in a cost-effective way. Content Type(s): Press, Speeches and appearances, Remarks
February 7, 2014 Flexible Inflation Targeting and “Good” and “Bad” Disinflation Remarks Tiff Macklem John Molson School of Business Concordia University Montréal, Quebec Senior Deputy Governor Tiff Macklem discusses flexible inflation targeting and “good” and “bad” disinflation. Content Type(s): Press, Speeches and appearances, Remarks
Household balance sheets and mortgage payment shocks Staff analytical note 2025-23 Thomas Michael Pugh, Saarah Sheikh, Taylor Webley Household savings in Canada have increased significantly since 2019, especially among homeowners without a mortgage. We assess how savings buffers can mitigate households’ financial risk in relation to asset repricing, mortgage payment renewal and unemployment. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D3, D31, E, E2, E21, G, G5, G51 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit
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
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
Discount Rates, Debt Maturity, and the Fiscal Theory Staff working paper 2021-58 Alexandre Corhay, Thilo Kind, Howard Kung, Gonzalo Morales Do bond risk premiums influence the effects of debt maturity operations? Using a model with realistic bond risk premiums, we show that maturity operations have sizable effects on expected inflation and output when the central bank passively responds to inflation and the fiscal authority weakly responds to the debt level. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, E44, E6, E63, G, G1, G12 Research Theme(s): Financial markets and funds management, Funds management, Market functioning, Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy tools and implementation
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