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230 Results

September 30, 2023

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Integrating Non-traditional Data and AI into Central Banking: A Canadian Perspective

This paper reviews how central banks are integrating non traditional data and artificial intelligence (AI) into policy analysis and operations. Using the Bank of Canada’s experience, it examines emerging applications, governance challenges, and strategic choices for responsibly scaling AI to enhance insight, efficiency, and institutional resilience.
August 16, 2012

Measurement Bias in the Canadian Consumer Price Index: An Update

The consumer price index (CPI) is the most commonly used measure to track changes in the overall level of prices. Since it departs from a true cost-of-living index, the CPI is subject to four types of measurement bias—commodity substitution, outlet substitution, new goods and quality adjustment. The author updates previous Bank of Canada estimates of measurement bias in the Canadian CPI by examining these four sources of potential bias. He finds the total measurement bias over the 2005–11 period to be about 0.5 percentage point per year, consistent with the Bank’s earlier findings. Slightly more than half of this bias is caused by the fixed nature of the CPI basket of goods and services.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E3, E31, E5, E52
January 30, 2009

Annual Report 2008

It has been a difficult year. The financial turmoil that began mid-2007 deteriorated into a full-blown global financial crisis through 2008. While the resilience and soundness of the Canadian financial system were in many respects exceptional, the scale of the financial crisis and the subsequent global recession had an increasing impact by year’s end on our financial system and our economy.
Content Type(s): Publications, Annual Report

Understanding the Systemic Implications of Climate Transition Risk: Applying a Framework Using Canadian Financial System Data

Our study aims to gain insight on financial stability and climate transition risk. We develop a methodological framework that captures the direct effects of a stressful climate transition shock as well as the indirect—or systemic—implications of these direct effects. We apply this framework using data from the Canadian financial system.

Improving the Efficiency of Payments Systems Using Quantum Computing

We develop an algorithm and run it on a hybrid quantum annealing solver to find an ordering of payments that reduces the amount of system liquidity necessary without substantially increasing payment delays.

Risk Amplification Macro Model (RAMM)

Technical report No. 123 Kerem Tuzcuoglu
The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios.

On the Programmability and Uniformity of Digital Currencies

Staff working paper 2025-18 Jonathan Chiu, Cyril Monnet
Central bankers argue that programmable digital currencies may compromise the uniformity of money. We develop a stylized model to examine this argument and the trade-offs involved in circulating programmable money.

Understanding Systemic Risks in the Canadian Financial System

This paper reviews recent efforts to monitor and assess systemic risk in the Canadian financial system and outlines a framework for future system-wide stress testing.
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