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2166 Results

Forecasting Risks to the Canadian Economic Outlook at a Daily Frequency

Staff discussion paper 2023-19 Chinara Azizova, Bruno Feunou, James Kyeong
This paper quantifies tail risks in the outlooks for Canadian inflation and real GDP growth by estimating their conditional distributions at a daily frequency. We show that the tail risk probabilities derived from the conditional distributions accurately reflect realized outcomes during the sample period from 2002 to 2022.

The Mutable Geography of Firms’ International Trade

Staff working paper 2025-11 Lu Han
Exporters frequently change their market destinations. This paper introduces a new approach to identifying the drivers of these decisions over time. Analysis of customs data from China and the UK shows most changes are driven by demand rather than supply-related shocks.

Price Discounts and Cheapflation During the Post-Pandemic Inflation Surge

Staff working paper 2024-31 Alberto Cavallo, Oleksiy Kryvtsov
We study how price variation within a store changes with inflation, and whether households exploit these changes to reduce the burden of inflation. We find that price changes from discounts mitigated the inflation burden while cheapflation exacerbated it.
June 2, 2022

Economic progress report: Navigating a high inflation environment

Remarks (delivered virtually) Paul Beaudry Gatineau Chamber of Commerce Gatineau, Quebec
Bank of Canada Deputy Governor Paul Beaudry talks about the Bank’s latest interest rate announcement and the importance of keeping inflation expectations well anchored to prevent high inflation from becoming entrenched.

Assessing global potential output growth and the US neutral rate: April 2021

We expect global potential output growth to rise to 3 percent by 2022. Relative to the last assessment in October 2020, potential output growth has been revised up across all the regions. The range of the US neutral rate remains unchanged relative to the autumn 2020 assessment.

Estimating Policy Functions in Payments Systems Using Reinforcement Learning

We demonstrate the ability of reinforcement learning techniques to estimate the best-response functions of banks participating in high-value payments systems—a real-world strategic game of incomplete information.

Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning

Staff working paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez
Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash.

The Countercyclical Capital Buffer and International Bank Lending: Evidence from Canada

Staff working paper 2021-61 David Xiao Chen, Christian Friedrich
We examine the impact of the CCyB on foreign lending activities of Canadian banks. We show that the announcement of a tightening in another country’s CCyB leads to a decrease in the growth rate of cross-border lending between Canadian banks and borrowers in that other country.

Dynamic Consumer Cash Inventory Model

Staff working paper 2025-22 Kim Huynh, Oleksandr Shcherbakov, André Stenzel
We study consumer cash inventory behavior by developing a dynamic model of forward-looking consumers and estimating structural parameters of the model using detailed consumer survey data. Consumers facing holding and withdrawal costs solve a discrete-time continuous-control dynamic programming problem to optimally use cash at the point of sale.

On the Evolution of the United Kingdom Price Distributions

We propose a functional principal components method that accounts for stratified random sample weighting and time dependence in the observations to understand the evolution of distributions of monthly micro-level consumer prices for the United Kingdom (UK).
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