Search

Content Types

Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

81 Results

How well can large banks in Canada withstand a severe economic downturn?

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

Macroeconomic Predictions Using Payments Data and Machine Learning

Staff Working Paper 2022-10 James Chapman, Ajit Desai
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.

What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data

Staff Working Paper 2021-52 Alberto Cavallo, Oleksiy Kryvtsov
Did supply disruptions and cost pressures play a role in rising inflation in 2020 during the COVID-19 pandemic? Using data collected from websites of large retailers in multiple sectors and countries, we show that shortages may indicate transitory inflationary pressures.

Potential output and the neutral rate in Canada: 2021 update

We expect potential output growth to be higher than in the October 2020 reassessment. By 2024, growth will be slightly above its average growth from 2010 to 2019. We assess that the Canadian nominal neutral rate continues to lie in the range of 1.75 to 2.75 percent.

Qualitative Field Research in Monetary Policy Making

Staff Discussion Paper 2021-1 Chris D'Souza, Jane Voll
Central banks conduct research involving in-depth interviews with external parties—but little is known about how this information affects monetary policy. We address this gap by analyzing open-ended interviews with senior central bank economic and policy staff who work closely with policy decision-makers.

Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19

Staff Working Paper 2021-2 James Chapman, Ajit Desai
We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

Potential output in Canada: 2020 reassessment

After COVID-19, we expect potential output growth to stabilize around 1.2 percent. This is lower than the 2010–18 average growth of 1.8 percent. Relative to the April 2019 reassessment, the growth profile is revised down. Given the unknown course of the pandemic, uncertainty around these estimates is higher than in previous years.
Content Type(s): Staff research, Staff analytical notes Topic(s): Labour markets, Potential output, Productivity JEL Code(s): E, E0, E00, E2, E23, E24, E3, E37, E6

IMPACT: The Bank of Canada’s International Model for Projecting Activity

We present the structure and features of the International Model for Projecting Activity (IMPACT), a global semi-structural model used to conduct projections and policy analysis at the Bank of Canada. Major blocks of the model are developed based on the rational error correction framework of Kozicki and Tinsley (1999), which allows the model to strike a balance between theoretical structure and empirical performance.
Go To Page