Search

Content Types

Subjects

Authors

Research Themes

JEL Codes

Sources

Published After

Published Before

2191 Results

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.

Balancing the Canadian Repo Market through QT: The Diminishing Role of Settlement Balances

Repo market imbalances can be large and persistent, and can lift the cost of short-term funding in Canada, including the CORRA benchmark. Banks’ holdings of settlement balances absorbed most of the repo imbalances during QE, but have become far less central by the end of QT.

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.

Regulatory Requirements of Banks and Arbitrage in the Post-Crisis Federal Funds Market

Staff working paper 2022-48 Rodney J. Garratt, Sofia Priazhkina
This paper explains the nature of interest rates in the U.S. federal funds market after the 2007-09 financial crisis. We build a model of the over-the-counter lending market that incorporates new aspects of the financial system: abundance of liquidity, different regulatory standards for banks, and arbitrage opportunities created by limited access to the facility granting interest on excess reserves.

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.

Assessing Global Potential Output Growth: April 2018

This note presents our estimates of potential output growth for the global economy through 2020. Overall, we expect global potential output growth to remain broadly stable over the projection horizon, averaging 3.3 per cent, although there is considerable uncertainty surrounding these estimates.

Detecting exuberance in house prices across Canadian cities

Staff analytical note 2021-9 Ugochi Emenogu, Cars Hommes, Mikael Khan
We introduce a model to detect periods of extrapolative house price expectations across Canadian cities. The House Price Exuberance Indicator can be updated on a quarterly basis to support the Bank of Canada’s broader assessment of housing market imbalances.

Hedge funds and bond market liquidity dynamics at the onset of the 2026 Middle East conflict

Staff analytical paper 2026-42 Vincent Meh, Jabir Sandhu, Andreas Uthemann
We investigate whether hedge funds contributed to Government of Canada bond market illiquidity at the onset of the Middle East war in early 2026. We find no evidence they did. Hedge funds remained active in primary auctions, while their secondary market trading remained broadly consistent with their usual relative-value strategies.

A Microfounded Design of Interconnectedness-Based Macroprudential Policy

Staff working paper 2016-6 Jose Fique
To address the challenges posed by global systemically important banks (G-SIBs), the Basel Committee on Banking Supervision recommended an “additional loss absorbency requirement” for these institutions. Along these lines, I develop a microfounded design of capital surcharges that target the interconnectedness component of systemic risk.
Go To Page