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
The Dynamic Canadian Debt Strategy Model Technical report No. 127 Nicolas Audet, Joe Ning, Adam Epp, Jeffrey Gao We present a dynamic debt strategy model framework designed to assist sovereign debt portfolio managers in choosing an optimal debt issuance strategy. The main innovation of this framework is the introduction of dynamic issuance strategies, which allow issuance decisions to vary over time based on the model’s simulated state variables. Content Type(s): Staff research, Technical reports JEL Code(s): C, C6, C61, G, G1, G11, G17, H, H6, H63, H68 Research Theme(s): Financial markets and funds management, Funds management, Models and tools, Econometric, statistical and computational methods
Differentiable, Filter Free Bayesian Estimation of DSGE Models Using Mixture Density Networks Staff working paper 2025-3 Chris Naubert I develop a method for Bayesian estimation of globally solved, non-linear macroeconomic models. The method uses a mixture density network to approximate the initial state distribution. The mixture density network results in more reliable posterior inference compared with the case when the initial states are set to their steady-state values. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C63, E, E3, E37, E4, E47 Research Theme(s): 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
January 15, 2024 Mapping out the implications of climate transition risk for the financial system Gabriel Bruneau, Javier Ojea Ferreiro, Andrew Plummer, Marie-Christine Tremblay, Aidan Witts We develop a new analytical framework to understand the system-wide implications of climate transition risk. When applying this framework to Canadian data, we find that interconnections within the financial sector could amplify the direct effects of climate transition risk on financial entities. Content Type(s): Publications, Financial System Hub articles JEL Code(s): C, C6, C63, G, G0, G01, G1, G10, G2, G20, Q, Q5, Q54
Understanding the Systemic Implications of Climate Transition Risk: Applying a Framework Using Canadian Financial System Data Staff discussion paper 2023-32 Gabriel Bruneau, Javier Ojea Ferreiro, Andrew Plummer, Marie-Christine Tremblay, Aidan Witts Our study aims to gain insight on financial stability and climate transition risk. We develop a methodological framework that captures the direct effects of a stressful climate transition shock as well as the indirect—or systemic—implications of these direct effects. We apply this framework using data from the Canadian financial system. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C6, C63, G, G0, G01, G1, G10, G2, G20, Q, Q5, Q54 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Structural challenges, Climate change
An Investigation into the Effects of Border Carbon Adjustments on the Canadian Economy Staff working paper 2023-27 Y.-H. Henry Chen, Hossein Hosseini Jebeli, Craig Johnston, Sergey Paltsev, Marie-Christine Tremblay We examine the economic implications of border carbon adjustments (BCAs) for Canada. We find that, BCAs, in the form of import tariffs, reduce Canada’s carbon leakage and improve its competitiveness when Canada is part of a broad coalition of BCA-implementing countries. Welfare also improves when tariff revenues are transferred to households. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C68, F, F1, H, H2, Q, Q3, Q37, Q5 Research Theme(s): Structural challenges, Climate change, International trade, finance and competitiveness
Learning in a Complex World: Insights from an OLG Lab Experiment Staff working paper 2023-13 Cars Hommes, Stefanie J. Huber, Daria Minina, Isabelle Salle This paper brings novel insights into group coordination and price dynamics in complex environments. We implement a chaotic overlapping-generation model in the lab and find that group coordination is always on the steady state or on the two-cycle and that behavior is non-monotonic. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C62, C68, C9, C91, C92, E, E1, E13, E7, E70, G, G1, G12, G4, G41 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting
Simulating Intraday Transactions in the Canadian Retail Batch System Staff working paper 2023-1 Nellie Zhang This paper proposes a unique approach to simulate intraday transactions in the Canadian retail payments batch system when such transactions are unobtainable. The simulation procedure has potential for helping with data-deficient problems where only high-level aggregate information is available. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, E, E4, E42, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
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