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 JEL Code(s): E, E5, E51, G, G2, G21, G23, G3, G32 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Monetary policy, Monetary policy tools and implementation
Windfall Income Shocks with Finite Planning Horizons Staff working paper 2022-40 Michael Boutros How do households respond when they receive unanticipated income, such as an inheritance or government stimulus cheque? This paper studies these windfall income shocks through a model of household behaviour that generates a realistic consumption response for households along the entire distribution of wealth. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D9, D91, E, E2, E21, G, G5, G51 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
House Price Responses to Monetary Policy Surprises: Evidence from the U.S. Listings Data Staff working paper 2022-39 Denis Gorea, Oleksiy Kryvtsov, Marianna Kudlyak Existing literature documents that house prices respond to monetary policy surprises with a significant delay, taking years to reach their peak response. We present new evidence of a much faster response. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, R, R2, R21, R3, R31 Research Theme(s): Financial system, Household and business credit, Monetary policy, Monetary policy framework and transmission
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 JEL Code(s): E, E5, E58, E6, E61, G, G2, G21, H, H3, H8, H84 Research Theme(s): Financial system, Financial stability and systemic risk, Financial system regulation and oversight, Household and business credit, Monetary policy, Real economy and forecasting
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. Content Type(s): Staff research, Staff analytical notes JEL Code(s): F, F3, F34, G, G1, G10, G14, G15 Research Theme(s): Financial markets and funds management, Funds management, International markets and currencies, Financial system, Financial stability and systemic risk
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. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, E58 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Economic models
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 JEL Code(s): D, D7, D78, D8, D81, G, G1, G18, G2, G21, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Financial system regulation and oversight, Money and payments, Digital assets and fintech
Comparison of Bayesian and Sample Theory Parametric and Semiparametric Binary Response Models Staff working paper 2022-31 Xiangjin Shen, Iskander Karibzhanov, Hiroki Tsurumi, Shiliang Li We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, C3, C35, C5, C51, C6, C63, D, D1 Research Theme(s): Financial system, Household and business credit, Models and tools, Econometric, statistical and computational methods
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 JEL Code(s): G, G1, G10, G2, G20, L, L1, L10 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Models and tools, Economic models, Monetary policy, Monetary policy tools and implementation
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 JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models