Models and tools

• Deriving Longer-Term Inflation Expectations and Inflation Risk Premium Measures for Canada

  Staff discussion paper 2024-9 Bruno Feunou, Zabi Tarshi

  We present two models for long-term inflation expectations and inflation risk premiums for Canada.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C58, E, E4, E43, E47, G, G1, G12 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission

• The Output-Inflation Trade-off in Canada

  Staff discussion paper 2024-7 Stefano Gnocchi, Fanny McKellips, Rodrigo Sekkel, Laure Simon, Yinxi Xie, Yang Zhang

  We explain how the Bank of Canada’s policy models capture the trade-off between output and inflation in Canada. We provide new estimates of the trade-off and contrast them with those in the Bank’s macroeconomic models.

  Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E3, E31, E5, E52 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission

• Non-Parametric Identification and Testing of Quantal Response Equilibrium

  Staff working paper 2024-24 Johannes Hoelzemann, Ryan Webb, Erhao Xie

  We show that the utility function and the error distribution are non-parametrically over-identified under Quantal Response Equilibrium (QRE). This leads to a simple test for QRE. We illustrate our method in a Monte Carlo exercise and a laboratory experiment.

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, C5, C57, C9, C92 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models

• The Role of Beliefs in Entering and Exiting the Bitcoin Market

  Staff working paper 2024-22 Daniela Balutel, Christopher Henry, Jorge Vásquez, Marcel Voia

  We develop a model that links investors’ decisions to enter or exit the Bitcoin market with their beliefs about the survival of Bitcoin. Empirical testing using Canadian data reveals that beliefs strongly influence both entries and exits, and this impact varies with time and ownership status.

  Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D83, E, E4, E41, O, O3, O33 Research Theme(s): Financial system, Household and business credit, Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech

• Sources of pandemic-era inflation in Canada: An application of the Bernanke and Blanchard model

  Staff analytical note 2024-13 Fares Bounajm, Jean Garry Junior Roc, Yang Zhang

  We explore the drivers of the surge in inflation in Canada during the COVID-19 pandemic. This work is part of a joint effort by 11 central banks using the model developed by Bernanke and Blanchard (2023) to identify similarities and differences across economies.

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E24, E3, E31, E37, E5, E52, E6 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting

• Saving after Retirement and Preferences for Residual Wealth

  Staff working paper 2024-21 Giulio Fella, Martin B. Holm, Thomas Michael Pugh

  We estimate a model of households in Norway with bequest motives, health-dependent utility, and uncertain longevity and health. Our estimates imply strong bequest motives for households both with and without offspring. We interpret this as suggestive evidence that utility from residual wealth represents forces beyond an altruistic bequest motive.

  Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D11, D12, D14, E, E2, E21 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply

• Decomposing Systemic Risk: The Roles of Contagion and Common Exposures

  Staff working paper 2024-19 Grzegorz Halaj, Ruben Hipp

  We examine systemic risks within the Canadian banking sector, decomposing them into three contribution channels: contagion, common exposures, and idiosyncratic risk. Through a structural model, we dissect how interbank relationships and market conditions contribute to systemic risk, providing new insights for financial stability.

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, C5, C51, G, G2, G21, L, L1, L14 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models

• Digital Payments in Firm Networks: Theory of Adoption and Quantum Algorithm

  Staff working paper 2024-17 Sofia Priazhkina, Samuel Palmer, Pablo Martín-Ramiro, Román Orús, Samuel Mugel, Vladimir Skavysh

  We build a network formation game of firms with trade flows to study the adoption and usage of a new digital currency as an alternative to correspondent banking.

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C7, C71, D, D4, D8, D85, G, L, L2, L22 Research Theme(s): Models and tools, Economic models, Money and payments, Digital assets and fintech, Payment and financial market infrastructures

• The Macroeconomic Implications of Coholding

  Staff working paper 2024-16 Michael Boutros, Andrej Mijakovic

  Coholder households simultaneously carry high-cost credit card debt and low-yield cash. We study the implications of this behavior for fiscal and monetary policy, finding that coholder households have smaller consumption responses in the short run but larger responses in the long run.

  Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E4, E44, E6, E62, G, G5, G51 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting

• Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems

  Staff working paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples

  Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.

  Content Type(s): Staff research, Staff working papers JEL Code(s): C, C4, C45, C5, C55, D, D8, D83, E, E4, E42 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures