We Didn’t Start the Fire: Effects of a Natural Disaster on Consumers’ Financial Distress Staff working paper 2023-15 Anson T. Y. Ho, Kim Huynh, David T. Jacho-Chávez, Geneviève Vallée We use detailed consumer credit data to investigate the impact of the 2016 Fort McMurray wildfire, the costliest wildfire disaster in Canadian history, on consumers’ financial stress. We focus on the arrears of insured mortgages because of their important implications for financial institutions and insurers’ business risk and relevant management practices. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C21, D, D1, D12, G, G2, G21, Q, Q5, Q54 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Structural challenges, Climate change
Canadian Financial Stress and Macroeconomic Conditions Staff discussion paper 2020-4 Thibaut Duprey Severe disruptions in the financial markets, as observed during the 2008 global financial crisis or the COVID-19 pandemic, can impair the stability of the entire financial system and worsen macroeconomic downturns. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C3, C32, E, E4, E44, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Real economy and forecasting
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
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 Bank of Canada’s “Horse Race” of Alternative Monetary Policy Frameworks: Some Interim Results from Model Simulations Staff discussion paper 2021-13 José Dorich, Rhys R. Mendes, Yang Zhang Bank of Canada staff are running a “horse race” of alternative monetary policy frameworks in the lead-up to 2021 renewal of the Bank’s monetary policy framework. This paper summarizes some interim results of model simulations from their research. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E2, E27, E3, E4, E5, E52, E58 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
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
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
Improving the Efficiency of Payments Systems Using Quantum Computing Staff working paper 2022-53 Christopher McMahon, Donald McGillivray, Ajit Desai, Francisco Rivadeneyra, Jean-Paul Lam, Thomas Lo, Danica Marsden, Vladimir Skavysh We develop an algorithm and run it on a hybrid quantum annealing solver to find an ordering of payments that reduces the amount of system liquidity necessary without substantially increasing payment delays. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C63, D, D8, D83, E, E4, E42, E5, E58 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Housing and Tax-Deferred Retirement Accounts Staff working paper 2016-24 Anson T. Y. Ho, Jie Zhou Assets in tax-deferred retirement accounts (TDA) and housing are two major components of household portfolios. In this paper, we develop a life-cycle model to examine the interaction between households’ use of TDA and their housing decisions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, D, D1, D14, D9, D91, E, E2, E21, H, H2, H24, R, R2, R21 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
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