November 22, 2022
Financial stability
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November 22, 2022
Monitoring the health of Canada’s financial system
Senior Deputy Governor Carolyn Rogers discusses risks and vulnerabilities in our financial system and what the Bank of Canada is doing to support financial stability. -
November 22, 2022
Financial stability in times of uncertainty
Senior Deputy Governor Carolyn Rogers discusses the Bank’s work to monitor risks and vulnerabilities in Canada’s financial system and support greater financial stability. -
Forecasting Banks’ Corporate Loan Losses Under Stress: A New Corporate Default Model
We present a new corporate default model, one of the building blocks of the Bank of Canada’s bank stress-testing infrastructure. The model is used to forecast corporate loan losses of the Canadian banking sector under stress. -
How does the Bank of Canada’s balance sheet impact the banking system?
We examine how changes in the Bank of Canada’s balance sheet impact the banking system. Quantitative easing contributed to an increase in the size of the banking system’s balance sheet and an improvement in bank liquidity coverage ratios. Quantitative tightening is expected to partially reverse these impacts. The banking system will have to adjust its liquidity management strategy in response. -
COVID-19 and Financial Stability: Practice Ahead of Theory
The COVID-19 pandemic uncovered policy challenges related to the economic measures that were taken to support the economy. Two years later, we attempt to identify the broader impact of these measures and research that needs to follow. -
BoC–BoE Sovereign Default Database: What’s new in 2022?
The BoC–BoE database of sovereign debt defaults, published and updated annually by the Bank of Canada and the Bank of England, provides comprehensive estimates of stocks of government obligations in default. -
Risk and State-Dependent Financial Frictions
Using a nonlinear New Keynesian model with a financial accelerator, we show that financial frictions generate large state-dependent amplification effects. Shocks propagate more strongly in periods of financial stress. We propose an endogenous regime-switching DSGE framework for efficient estimation and improved model fit. -
Cyber Risk and Security Investment
We develop a principal-agent model of cyber-attacking with fee-paying clients who delegate security decisions to financial platforms. We derive testable implications about clients’ vulnerability to cyber attacks and about the fees charged. -
Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning
Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.