Nowcasting Canadian GDP with Density Combinations Staff discussion paper 2022-12 Tony Chernis, Taylor Webley We present a tool for creating density nowcasts for Canadian real GDP growth. We demonstrate that the combined densities are a reliable and accurate tool for assessing the state of the economy and risks to the outlook. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C52, C53, E, E3, E7 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Machine learning for economics research: when, what and how Staff analytical note 2023-16 Ajit Desai This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used. Content Type(s): Staff research, Staff analytical notes JEL Code(s): A, A1, A10, B, B2, B23, C, C4, C45, C5, C55 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity
The Rise of Non-Regulated Financial Intermediaries in the Housing Sector and its Macroeconomic Implications Staff working paper 2017-36 Hélène Desgagnés I examine the impact of non-regulated lenders in the mortgage market using a dynamic stochastic general equilibrium (DSGE) model. My model features two types of financial intermediaries that differ in three ways: (i) only regulated intermediaries face a capital requirement, (ii) non-regulated intermediaries finance themselves by selling securities and cannot accept deposits, and (iii) non-regulated intermediaries face a more elastic demand. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32, E4, E44, E47, E6, E60, G, G2, G21, G23, G28 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Household and business credit, Models and tools, Economic models
The Effect of Oil Price Shocks on Asset Markets: Evidence from Oil Inventory News Staff working paper 2020-8 Ron Alquist, Reinhard Ellwanger, Jianjian Jin We quantify the reaction of U.S. equity, bond futures, and exchange rate returns to oil price shocks driven by oil inventory news. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D83, E, E4, E44, G, G1, G14, G15, Q, Q4, Q41, Q43 Research Theme(s): Financial markets and funds management, International markets and currencies, Market functioning, Monetary policy, Inflation dynamics and pressures
An Application of Shapley Value Cost Allocation to Liquidity Savings Mechanisms Staff working paper 2019-26 Rodney J. Garratt Liquidity demands in real-time gross settlement payment systems can be enormous. To reduce the liquidity requirement, central banks around the world have implemented liquidity savings mechanisms (LSMs). Content Type(s): Staff research, Staff working papers JEL Code(s): C, C7, C72, E, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
November 17, 2016 Bank of Canada Review - Autumn 2016 What is the role of central banks in financial stability? How has this role changed in recent years? Bank researchers share their insights on this matter and provide an overview of recent changes the Bank has made to its Emergency Lending Assistance Policy. Researchers also provide a history of four major commodity supercycles, dating back to the early 1900s. Finally, there is discussion about structural reforms in emerging-market economies, such as China, and how these reforms influence potential growth. Content Type(s): Publications, Bank of Canada Review
Canadian Bitcoin Ownership in 2023: Key Takeaways Staff discussion paper 2025-4 Daniela Balutel, Marie-Hélène Felt, Doina Rusu The Bitcoin Omnibus Survey is an important tool for monitoring Canadians’ awareness and ownership of bitcoin and other cryptoassets over time. In this paper, we present data highlights from the 2023 survey. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C8, C81, E, E4, O, O5, O51 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech
High-Frequency Cross-Sectional Identification of Military News Shocks Staff working paper 2025-27 Francesco Amodeo, Edoardo Briganti We identify and quantify fiscal news shocks, compiling events (2001–2023) that altered the expected path of U.S. defense expenditure. For each event, we estimate market-implied shifts in expected spending. A shift-share analysis yields a two-year, metropolitan statistical area–level GDP multiplier of approximately 1 for U.S. military build-ups. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E20, E3, E30, E32, E6, E60, E62, E65 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Canadians’ access to cash in 2023 Staff analytical note 2025-13 Heng Chen, Hongyu Xiao, Daneal O’Habib, Stephen Wild This study updates our measure of Canadians' access to cash through automated banking machines and financial institution branches. We find that in 2023 overall access to cash remains stable, while rural Canadians continue having less access. Content Type(s): Staff research, Staff analytical notes JEL Code(s): J, J1, J15, O, O1, R, R5, R51 Research Theme(s): Money and payments, Cash and bank notes
High-Frequency Trading and Institutional Trading Costs Staff working paper 2018-8 Marie Chen, Corey Garriott Using data on Canadian bond futures, we examine how high-frequency traders (HFTs) interact with institutions building large positions. In contrast to recent findings, we find HFTs in the data act as small-sized liquidity suppliers, and we reject the hypothesis that they engage in back running, a predatory trading strategy. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G14, G2, G20, L, L1, L10 Research Theme(s): Financial markets and funds management, Market functioning, Market structure