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407 Results

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.

The Sectoral Origins of Post-Pandemic Inflation

Staff working paper 2025-37 Jan David Schneider
This paper quantifies the contribution of sector-specific supply and demand shocks to personal consumption expenditure (PCE) inflation. It derives identification restrictions that are consistent with a large class of dynamic stochastic general equilibrium models with production networks.

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.
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.

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.

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.

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.

Detecting Scapegoat Effects in the Relationship Between Exchange Rates and Macroeconomic Fundamentals

Staff working paper 2017-22 Lorenzo Pozzi, Barbara Sadaba
This paper presents a new testing method for the scapegoat model of exchange rates that aims to tighten the link between the theory on scapegoats and its empirical implementation. This new testing method consists of a number of steps.

Data Externalities, Market Power, and the Optimal Design of Central Bank Digital Currencies

This paper studies how a central bank should design a CBDC when private payment providers collect and monetize transaction data. It characterizes the optimal CBDC’s pricing and data policy, and shows how its effects on private payment use and total data depend on market power and data externalities.
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