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375 Results

Forecasting Banks’ Corporate Loan Losses Under Stress: A New Corporate Default Model

Technical Report No. 122 Gabriel Bruneau, Thibaut Duprey, Ruben Hipp
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?

Staff Analytical Note 2022-12 Daniel Bolduc-Zuluaga, Brad Howell, Grahame Johnson
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

Staff Discussion Paper 2022-18 Jing Yang, Hélène Desgagnés, Grzegorz Halaj, Yaz Terajima
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?

Staff Analytical Note 2022-11 David Beers, Elliot Jones, Karim McDaniels, Zacharie Quiviger
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

Staff Working Paper 2022-37 Martin Harding, Rafael Wouters
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

Staff Working Paper 2022-32 Toni Ahnert, Michael Brolley, David Cimon, Ryan Riordan
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.

Analyzing the house price boom in the suburbs of Canada’s major cities during the pandemic

Staff Analytical Note 2022-7 Louis Morel
We assess how location affects house prices in Canada. The gap in prices between suburbs and downtown was closing gradually before the pandemic. The gap has been closing faster since spring 2020. This finding reflects a shift in preferences toward more living space.
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