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2187 Results

June 7, 2018

Establishing a Resolution Regime for Canada’s Financial Market Infrastructures

This report highlights how an effective resolution regime promotes financial stability. It does this by ensuring that financial market infrastructures (FMIs) would be able to continue to provide their critical functions during a period of stress when an FMI’s own recovery measures were failing. The report explains the Bank of Canada’s new role as the resolution authority for FMIs, which will further bolster financial system resilience.
Content Type(s): Publications, Financial System Review articles JEL Code(s): G, G1, G10, G19, G2, G20, G28, G29

Assessing global potential output growth and the US neutral rate: April 2021

We expect global potential output growth to rise to 3 percent by 2022. Relative to the last assessment in October 2020, potential output growth has been revised up across all the regions. The range of the US neutral rate remains unchanged relative to the autumn 2020 assessment.

Managing Risk Taking with Interest Rate Policy and Macroprudential Regulations

Staff working paper 2016-47 Simona Cociuba, Malik Shukayev, Alexander Ueberfeldt
We develop a model in which a financial intermediary’s investment in risky assets—risk taking—is excessive due to limited liability and deposit insurance and characterize the policy tools that implement efficient risk taking.
September 6, 2018

An Update on Canada’s Economic Resilience

Remarks Carolyn A. Wilkins Saskatchewan Trade & Export Partnership Regina, Saskatchewan
Senior Deputy Governor Wilkins discusses economic developments since the July Monetary Policy Report and Governing Council’s deliberations leading to yesterday’s policy rate decision.

Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning

Staff working paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez
Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash.

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.

An Anatomy of Firms’ Political Speech

Staff working paper 2024-37 Pablo Ottonello, Wenting Song, Sebastian Sotelo
We study the distribution of political speech across U.S. firms. We develop a measure of political engagement based on firms’ communications (earning calls, regulatory filings, and social media) by training a large language model to identify statements that contain political opinions. Using these data, we document five facts about firms’ political engagement.
Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D22, D6, D63, G, G4, G41, L, L1, L11, L2, L20 Research Theme(s): Financial markets and funds management, Market structure

Markups, Pass-Through, and Firm Heterogeneity with Sequentially Mixed Search

Staff working paper 2025-7 Alex Chernoff, Allen Head, Beverly Lapham
Market power and pass-through of cost and demand shocks are studied in a market with free entry of heterogeneous firms and consumer mixed search. Equilibrium prices and markups are driven by variation in the elasticity of demand across firms. Improved conditions for buyers can either raise or lower market power.

Identifying Nascent High-Growth Firms Using Machine Learning

Staff working paper 2023-53 Stéphanie Houle, Ryan Macdonald
Firms that grow rapidly have the potential to usher in new innovations, products or processes (Kogan et al. 2017), become superstar firms (Haltiwanger et al. 2013) and impact the aggregate labour share (Autor et al. 2020; De Loecker et al. 2020). We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data.

How Banks Create Gridlock to Save Liquidity in Canada's Large Value Payment System

Staff working paper 2023-26 Rodney J. Garratt, Zhentong Lu, Phoebe Tian
We show how participants in Canada’s new high-value payment system save liquidity by exploiting the new gridlock resolution arrangement. The findings have important implications for the design of these systems and shed light on financial institutions’ liquidity preference.
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