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 JEL Code(s): C, C3, C32, E, E1, E17, E3, E37, E5, E52 Research Theme(s): Financial system, Household and business credit, Monetary policy, Monetary policy framework and transmission
October 20, 2006 MUSE: The Bank of Canada's New Projection Model of the U.S. Economy Bank of Canada Review - Autumn 2006 Marc-André Gosselin, René Lalonde, Nicolas Parent Staff projections provided for the Bank of Canada's monetary policy decision process take into account the integration of Canada's very open economy within the global economy, as well as its close real and financial linkages with the United States. To provide inputs for this projection, the Bank has developed several models, including MUSE, NEUQ (the New European Quarterly Model), and BoC-GEM (Bank of Canada Global Economy Model), to analyze and forecast economic developments in the rest of the world. The authors focus on MUSE, the model currently used to describe interaction among the principal U.S. economic variables, including gross domestic product, inflation, interest rates, and the exchange rate. Brief descriptions are also provided of NEUQ and BoC-GEM. Content Type(s): Publications, Bank of Canada Review articles
Are Working Hours Complements in Production? Staff working paper 2022-47 Lin Shao, Faisal Sohail, Emircan Yurdagul Using Canadian matched employer-employee data, we show that working hours of different workers are gross complements in production rather than perfect substitutes, as is typically assumed by macroeconomic models of production. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E23, J, J2, J22, J23, J3, J31 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
What cured the TSX Equity index after COVID-19? Staff analytical note 2021-3 Guillaume Ouellet Leblanc, Jean-Sébastien Fontaine, Ryan Shotlander The TSX index rose by 9.5 percent in November 2020, adding large gains to an already sharp V-shaped recovery. The economic outlook improved at that time as well. We ask whether the stock market gains since last autumn are due to improving forecasts of firms’ earnings. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G12, G14 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Real economy and forecasting
Harnessing the benefit of state-contingent forward guidance Staff analytical note 2022-13 Vivian Chu, Yang Zhang A low level of the neutral rate of interest increases the likelihood that a central bank’s policy rate will reach its effective lower bound (ELB) in future economic downturns. In a low neutral rate environment, using an extended monetary policy toolkit including forward guidance helps address the ELB challenge. Using the Bank’s Terms-of-Trade Economic Model, we assess the benefits and limitations of a state-contingent forward guidance implemented within a flexible inflation targeting framework. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E27, E3, E37, E4, E5, E52, E58 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Downward Nominal Wage Rigidity in Canada: Evidence Against a “Greasing Effect” Staff working paper 2017-31 Joel Wagner The existence of downward nominal wage rigidity (DNWR) has often been used to justify a positive inflation target. It is traditionally assumed that positive inflation could “grease the wheels” of the labour market by putting downward pressure on real wages, easing labour market adjustments during a recession. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E24, E5, E52 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Dating Systemic Financial Stress Episodes in the EU Countries Staff working paper 2016-11 Benjamin Klaus, Tuomas Peltonen, Thibaut Duprey This paper introduces a new methodology to date systemic financial stress events in a transparent, objective and reproducible way. The financial cycle is captured by a monthly country-specific financial stress index. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C54, G, G0, G01, G1, G15 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
How Far Do Canadians Need to Travel to Access Cash? Staff discussion paper 2023-28 Heng Chen, Daneal O’Habib, Hongyu Xiao This paper develops a travel-based metric to measure Canadians’ access to cash from automated banking machines (ABMs) and financial institution branches. We find that, overall, access to cash remained stable between 2019 and 2022. The total number of ABMs in Canada increased by 3.7% and the total number of branches decreased by 5.2% during that period. Content Type(s): Staff research, Staff discussion papers JEL Code(s): G, G2, G21, J, J1, J15, R, R5, R51 Research Theme(s): Money and payments, Cash and bank notes
November 1, 2018 Bank of Canada publishes staff economic projections for the first time Media Relations Ottawa, Ontario Today the Bank of Canada launched a digital database with more than 30 years of past staff economic projections of the Canadian economy. Content Type(s): Press, Press releases
Challenges in Implementing Worst-Case Analysis Staff working paper 2018-47 Jon Danielsson, Lerby Ergun, Casper G. de Vries Worst-case analysis is used among financial regulators in the wake of the recent financial crisis to gauge the tail risk. We provide insight into worst-case analysis and provide guidance on how to estimate it. We derive the bias for the non-parametric heavy-tailed order statistics and contrast it with the semi-parametric extreme value theory (EVT) approach. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C01, C1, C14, C5, C58 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods