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2173 Results

How do Canadians perceive access to cash?

Staff analytical note 2024-24 Heng Chen, Daneal O’Habib, Hongyu Xiao
This paper introduces a subjective measure of cash accessibility in Canada, complementing existing distance-based metrics developed by Chen, O’Habib and Xiao (2023). Analyzing data from the 2023 Methods-of-Payment Survey, this study explores how Canadians perceive their ease of accessing cash from automated banking machines (ABMs) and financial institution branches.
Content Type(s): Staff research, Staff analytical notes JEL Code(s): J, J1, J15, O, O1, R, R5, R51 Research Theme(s): Money and payments, Cash and bank notes
September 14, 2016

(S)low for Long and Financial Stability

Remarks Carolyn A. Wilkins Official Monetary and Financial Institutions Forum City Lecture London, United Kingdom
Senior Deputy Governor Carolyn Wilkins discusses the financial stability risks associated with slow growth and low interest rates, and explores strategies to mitigate them.

Extraordinary Forward Guidance in Canada During the Pandemic

Staff analytical paper 2026-1 Christopher S. Sutherland
We consider two trade-offs inherent to extraordinary forward guidance (EFG): potency versus flexibility, and the credibility of forward guidance versus the credibility of inflation targeting. We argue that the form of EFG used by the Bank of Canada during the COVID‑19 pandemic balanced both trade-offs relatively well.

The Positive Case for a CBDC

Staff discussion paper 2021-11 Andrew Usher, Edona Reshidi, Francisco Rivadeneyra, Scott Hendry
We discuss the competition and innovation arguments for issuing a central bank digital currency (CBDC). A CBDC could be an effective competition policy tool for payments. A CBDC could also support the vibrancy of the digital economy. It could help solve market failures and foster competition and innovation in new digital payments markets.

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.

Quantile VARs and Macroeconomic Risk Forecasting

Staff working paper 2025-4 Stéphane Surprenant
This paper provides an extensive evaluation of the performance of quantile vector autoregression (QVAR) to forecast macroeconomic risk. Generally, QVAR outperforms standard benchmark models. Moreover, QVAR and QVAR augmented with factors perform equally well. Both are adequate for modeling macroeconomic risks.
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