Monetary Policy Transmission to Small Business Loan Performance: Evidence from Loan-Level Data Staff Working Paper 2024-41 Rodrigo Sekkel, Tamon Takamura, Yaz Terajima We analyze the dynamic and heterogeneous responses of small-business loan performance to a monetary-policy shock using loan-level data in Canada. We find evidence of monetary policy transmission through the cash-flow channel and the aggregate demand channel as well as some, though limited, impact of collateral to discipline loan repayment. Content Type(s): Staff research, Staff working papers Topic(s): Firm dynamics, Monetary policy transmission JEL Code(s): C, C3, C32, E, E1, E17, E3, E37, E5, E52
CANVAS: A Canadian Behavioral Agent-Based Model Staff Working Paper 2022-51 Cars Hommes, Mario He, Sebastian Poledna, Melissa Siqueira, Yang Zhang The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis. Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Econometric and statistical methods, Economic models, Firm dynamics, Inflation and prices JEL Code(s): C, D, D2, D22, D8, D83, E, E1, E17
ToTEM III: The Bank of Canada’s Main DSGE Model for Projection and Policy Analysis Technical Report No. 119 Paul Corrigan, Hélène Desgagnés, José Dorich, Vadym Lepetyuk, Wataru Miyamoto, Yang Zhang ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution. Content Type(s): Staff research, Technical reports Topic(s): Business fluctuations and cycles, Economic models, Housing, Interest rates, Monetary policy JEL Code(s): E, E1, E17, E2, E20, E3, E30, E4, E40, E5, E50, E6, E62, E65, F, F4, F40, F41, G, G5, G51
Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts Staff Working Paper 2018-52 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Economic models, Inflation targets, Monetary policy JEL Code(s): C, C3, C32, E, E1, E17, E3, E37
Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities Staff Analytical Note 2018-6 Thibaut Duprey When financial system vulnerabilities are elevated, they can give rise to asymmetric risks to the economic outlook. To illustrate this, I consider the economic outlook presented in the Bank of Canada’s October 2017 Monetary Policy Report in the context of two key financial system vulnerabilities: high levels of household indebtedness and housing market imbalances. Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Financial stability, Financial system regulation and policies, Monetary and financial indicators, Monetary policy and uncertainty, Recent economic and financial developments JEL Code(s): C, C0, C01, C1, C11, C15, E, E1, E17, E3, E32, E37, E4, E44, E47, E5, E58, E6, E66, G, G0, G01, G1, G18
The Real-Time Properties of the Bank of Canada’s Staff Output Gap Estimates Staff Working Paper 2016-28 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel We study the revision properties of the Bank of Canada’s staff output gap estimates since the mid-1980s. Our results suggest that the average staff output gap revision has decreased significantly over the past 15 years, in line with recent evidence for the U.S. Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Econometric and statistical methods, Potential output JEL Code(s): C, C3, C38, E, E1, E17, E3, E32
Macroeconomic Uncertainty Through the Lens of Professional Forecasters Staff Working Paper 2016-5 Soojin Jo, Rodrigo Sekkel We analyze the evolution of macroeconomic uncertainty in the United States, based on the forecast errors of consensus survey forecasts of different economic indicators. Comprehensive information contained in the survey forecasts enables us to capture a real-time subjective measure of uncertainty in a simple framework. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C38, E, E1, E17, E3, E32
The Complex Adjustment of the Canadian Economy to Lower Commodity Prices Staff Analytical Note 2016-1 Julien Champagne, Nikita Perevalov, Hope Pioro, Dany Brouillette, Andrew Agopsowicz In this analytical note, we provide a comprehensive assessment of the complex structural adjustment facing the Canadian economy following the commodity price decline since mid-2014. We quantify separately the impacts coming from the commodity sector restructuring and the broader effect of significantly lower terms of trade. Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Exchange rates, Labour markets, Potential output, Recent economic and financial developments JEL Code(s): E, E1, E17, E2, E27, E5, E52, J, J2, Q, Q0, Q00
Testing for the Diffusion Matrix in a Continuous-Time Markov Process Model with Applications to the Term Structure of Interest Rates Staff Working Paper 2015-17 Fuchun Li The author proposes a test for the parametric specification of each component in the diffusion matrix of a d-dimensional diffusion process. Overall, d (d-1)/2 test statistics are constructed for the off-diagonal components, while d test statistics are constructed for the main diagonal components. Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Interest rates JEL Code(s): C, C1, C12, C14, E, E1, E17, E4, E43, G, G1, G12, G2, G20
Analyzing and Forecasting the Canadian Economy through the LENS Model Technical Report No. 102 Olivier Gervais, Marc-André Gosselin The authors describe the key features of a new large-scale Canadian macroeconomic forecasting model developed over the past two years at the Bank of Canada. Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods, Economic models JEL Code(s): C, C5, C53, E, E1, E17, E2, E27, E3, E37, F, F1, F17