November 20, 2018 Choosing the Best Monetary Policy Framework for Canada Remarks Carolyn A. Wilkins McGill University Max Bell School of Public Policy Montréal, Quebec Senior Deputy Governor Carolyn A. Wilkins discusses public policy issues around monetary policy frameworks and how those issues have become more complex in the post-global financial crisis world. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Financial system, Financial stability, Monetary policy, Economic models, Economy/Economic growth, Inflation targeting framework
Generalized Autoregressive Gamma Processes Staff working paper 2023-40 Bruno Feunou We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C58, G, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods
Seeing the Economy through Colored Glasses: Partisanship in Macro and (not in) Micro Expectations Staff working paper 2026-24 Adrian Monninger, Kyung Woong Koh, Tao Wang Households report distinctive views of the macroeconomy along partisan lines, while their expectations about personal finances do not follow the same pattern. Economic inequality remains the major contributor to polarized views of the macroeconomy. Partisan politics are simply a magnifier. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E30, E7, E71 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Partial Identification of Heteroskedastic Structural Vector Autoregressions: Theory and Bayesian Inference Staff working paper 2025-14 Helmut Lütkepohl, Fei Shang, Luis Uzeda, Tomasz Woźniak We consider structural vector autoregressions that are identified through stochastic volatility. Our analysis focuses on whether a particular structural shock can be identified through heteroskedasticity without imposing any sign or exclusion restrictions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C12, C3, C32, E, E6, E62 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
Three things we learned about the Lynx payment system Staff analytical note 2023-14 Nikil Chande, Zhentong Lu, Hiru Rodrigo, Phoebe Tian Canada transitioned to a new wholesale payment system, Lynx, in August 2021. Lynx is based on a real-time settlement model that eliminates credit risk in the system. This model can require more liquidity; however, Lynx’s design allows Canada’s wholesale payments to settle efficiently. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C1, C10, E, E4, E42, G, G2, G28 Research Theme(s): Money and payments, Payment and financial market infrastructures
Central Bank Digital Currency and Banking: Macroeconomic Benefits of a Cash-Like Design Staff working paper 2021-63 Jonathan Chiu, Mohammad Davoodalhosseini Should a CBDC be more like cash or bank deposits? An interest-bearing, cash-like CBDC not only makes payments more efficient but also increases total demand. This has positive effects on other transactions, inducing more deposit taking and lending and, thus, bank intermediation. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E50, E58 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy framework and transmission, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Monetary Policy Pass-Through with Central Bank Digital Currency Staff working paper 2021-10 Janet Hua Jiang, Yu Zhu Many central banks are considering issuing a central bank digital currency (CBDC). This would introduce a new policy tool—interest on CBDC. We investigate how this new tool would interact with traditional monetary policy tools, such as the interest on central bank reserves. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E50, E52 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Money and payments, Digital assets and fintech
Correcting Selection Bias in a Non-Probability Two-Phase Payment Survey Staff working paper 2025-17 Heng Chen, John Tsang We develop statistical inferences for a non-probability two-phase survey sample when relevant auxiliary information is available from a probability survey sample. The proposed method is assessed by simulation studies and used to analyze a non-probability two phase payment survey. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C8, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
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
Asset Encumbrance, Bank Funding and Financial Fragility Staff working paper 2016-16 Kartik Anand, Prasanna Gai, James Chapman, Toni Ahnert In this piece we show that a limit on the level of asset encumbrance and minimum capital requirements are effective tools for minimizing the incentive for banks to take excessive risk. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, G, G0, G01, G2, G21, G28 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Financial system regulation and oversight