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2120 Results

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.
October 20, 2006

MUSE: The Bank of Canada's New Projection Model of the U.S. Economy

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.

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.

What cured the TSX Equity index after COVID-19?

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.

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.

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.

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.

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

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.
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