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. Content Type(s): Staff research, Technical reports Topic(s): Economic models, Financial institutions, Financial stability, Financial system regulation and policies JEL Code(s): C, C2, C22, C5, C52, C53, G, G1, G17, G2, G21, G28
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. Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Financial stability, Monetary policy JEL Code(s): E, E5, E51, G, G2, G21, G23, G3, G32
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. Content Type(s): Staff research, Staff discussion papers Topic(s): Coronavirus disease (COVID-19), Financial stability, Financial system regulation and policies JEL Code(s): E, E5, E58, E6, E61, G, G2, G21, H, H3, H8, H84
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. Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Financial services, Financial stability, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): D, D7, D78, D8, D81, G, G1, G18, G2, G21, G23
Fixed-income dealing and central bank interventions Staff Analytical Note 2022-9 David Cimon, Adrian Walton We summarize the theoretical model of central bank asset purchases developed in Cimon and Walton (2022). The model helps us understand how asset purchases ease pressures on investment dealers to restore market conditions in a crisis. Content Type(s): Staff research, Staff analytical notes Topic(s): Coronavirus disease (COVID-19), Economic models, Financial institutions, Financial markets, Market structure and pricing JEL Code(s): G, G1, G10, G2, G20, L, L1, L10
Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning Staff Working Paper 2022-29 Vladimir Skavysh, Sofia Priazhkina, Diego Guala, Thomas Bromley 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. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods, Economic models, Financial stability JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21
Unregulated Lending, Mortgage Regulations and Monetary Policy Staff Working Paper 2022-28 Ugochi Emenogu, Brian Peterson This paper evaluates the effectiveness of macroprudential policies when regulations are uneven across mortgage lender types. We look at credit tightening that results from macroprudential regulations and examine how much of it is counteracted by credit shifting to unregulated lenders. We also study the impact of monetary policy tightening when some lenders are unregulated. Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Financial system regulation and policies, Monetary policy transmission JEL Code(s): E, E4, E44, E5, E50, E52, E58, G, G2, G21, G23, G28
Potential netting benefits from expanded central clearing in Canada’s fixed-income market Staff Analytical Note 2022-8 Jessie Ziqing Chen, Johannes Chen, Shamarthi Ghosh, Manu Pandey, Adrian Walton We assess whether more central clearing would enhance the resilience of Canadian fixed-income markets. Our analysis estimates the potential benefits of balance sheet netting under scenarios where central clearing is expanded to new participants. Content Type(s): Staff research, Staff analytical notes Topic(s): Credit risk management, Financial institutions, Financial markets JEL Code(s): D, D4, G, G1, G12, G2, G21, G29
How well can large banks in Canada withstand a severe economic downturn? Staff Analytical Note 2022-6 Andisheh (Andy) Danaee, Harsimran Grewal, Brad Howell, Guillaume Ouellet Leblanc, Xuezhi Liu, Mayur Patel, Xiangjin Shen We examine the potential impacts of a severe economic shock on the resilience of major banks in Canada. We find these banks would suffer significant financial losses but nevertheless remain resilient. This underscores the role well-capitalized banks and sound underwriting practices play in supporting economic activity in a downturn. Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Financial stability JEL Code(s): E, E2, E27, E3, E37, E4, E44, G, G1, G2, G21, G23
Financial Intermediaries and the Macroeconomy: Evidence from a High-Frequency Identification Staff Working Paper 2022-24 Pablo Ottonello, Wenting Song We provide empirical evidence of effects to the aggregate economy from surprises about financial intermediaries’ net worth based on a high-frequency identification strategy. We estimate that news of a 1% decline in intermediaries’ net worth leads to a 0.2%–0.4% decrease in the market value of nonfinancial firms. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Business fluctuations and cycles, Credit and credit aggregates, Financial institutions, Financial markets, Financial system regulation and policies, Monetary and financial indicators JEL Code(s): E, E3, E32, E4, E44, E5, E51, G, G0, G01, G1, G12, G2, G21, G23, G24, G3, G32