Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems Staff working paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C4, C45, C5, C55, D, D8, D83, E, E4, E42 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
November 11, 2009 The Evolution of Capital Flows to Emerging-Market Economies Bank of Canada Review - Winter 2009-2010 Lena Suchanek, Garima Vasishtha Many emerging-market economies (EMEs) have significantly improved their macroeconomic fundamentals and undergone structural reforms since the Asian crisis. These developments have enhanced the composition of capital flows to EMEs through an improved debt structure, a larger share of capital flows as foreign direct investment, and greater access to international debt markets for corporations in EMEs. Structural changes in the global financial landscape have also increased capital flows, bringing economic and financial benefits to EMEs. During the recent financial crisis, however, the opening up of capital accounts and increased financial and trade linkages left many countries vulnerable to external disruptions. Countries with sound fundamentals have weathered the crisis relatively well. Policy-makers in EMEs need to implement policies that support capital flows and ensure that controls imposed to deal with detrimental outflows during periods of stress or rapid inflows are only temporary. Content Type(s): Publications, Bank of Canada Review articles
What Drives Bitcoin Fees? Using Segwit to Assess Bitcoin's Long-Run Sustainability Staff working paper 2022-2 Colin Brown, Jonathan Chiu, Thorsten Koeppl We explore what drives transaction fees in the Bitcoin system and consider whether Bitcoin can remain tamper proof in the long run. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E42, G, G2 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Nowcasting Canadian Economic Activity in an Uncertain Environment Staff discussion paper 2018-9 Tony Chernis, Rodrigo Sekkel This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C53, E, E3, E37, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
The Case of Serial Disappointment Staff analytical note 2016-10 Justin-Damien Guénette, Nicholas Labelle, Martin Leduc, Lori Rennison Similar to those of other forecasters, the Bank of Canada’s forecasts of global GDP growth have shown persistent negative errors over the past five years. This is in contrast to the pre-crisis period, when errors were consistently positive as global GDP surprised to the upside. All major regions have contributed to the forecast errors observed since 2011, although the United States has been the most persistent source of notable errors. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E27, E6, E66, F, F0, F01 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting
What do high-frequency expenditure network data reveal about spending and inflation during COVID‑19? Staff analytical note 2020-20 Kim Huynh, Helen Lao, Patrick Sabourin, Angelika Welte The official consumer price index (CPI) inflation measure, based on a fixed basket set before the COVID 19 pandemic, may not fully reflect what consumers are currently experiencing. We partnered with Statistics Canada to construct a more representative index for the pandemic with weights based on real-time transaction and survey data. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D1, D12, E, E3, E31, E4, E42, E5, E52 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Money and payments, Payment and financial market infrastructures
Monetary Policy in an AI-Driven Two-Speed Economy Staff working paper 2026-27 Joshua Brault, Maryam Haghighi, Jing Yang We analyze monetary policy responses to AI in a two-sector New Keynesian model, distinguishing augmentation and automation. Both reduce labor demand, requiring accommodation that creates inflation trade-offs. Automation worsens them. Aggregate inflation depends on AI’s form and breadth, making policy stabilization more complex and aggregate data potentially misleading. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E24, E3, E31, E32, E5, E52, J, J2, J23, O, O3, O33 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity
August 23, 2004 The Evolution of Liquidity in the Market for Government of Canada Bonds Bank of Canada Review - Summer 2004 Stacey Anderson, Stéphane Lavoie Using turnover ratios, Anderson and Lavoie describe the recent evolution of liquidity in various secondary government bond markets, focusing specifically on the market for Government of Canada securities. They attribute much of the recent variation in liquidity to such cyclical factors as changes in the interest rate environment and investors' appetite for risk, as well as developments in equity markets in the late 1990s. They also examine longer-term structural and policy-related trends, including the rate of adoption of financial and technological innovations and the level of government borrowing and debt-management initiatives. Content Type(s): Publications, Bank of Canada Review articles
November 11, 2008 The Market Impact of Forward-Looking Policy Statements: Transparency vs. Predictability Bank of Canada Review - Winter 2008-2009 Christine Fay, Toni Gravelle Central banks continuously strive to improve how they communicate to financial markets and the public in order to increase transparency. For this reason, many central banks have begun to include guidance on the policy rate in the form of forward-looking statements in their communications. This article examines the debate over the usefulness of providing such statements from both theoretical and empirical standpoints. The evidence presented here suggests that the use of forward-looking statements in Bank of Canada communications has made the Bank more predictable, but not necessarily more transparent. Content Type(s): Publications, Bank of Canada Review articles
July 21, 2010 Why Monetary Policy Matters: A Canadian Perspective This paper provides a non-technical introduction to monetary policy - what it is, how it works, and why it matters. It discusses inflation volatility and why this is damaging to the economy, as well as why increased stability of output growth is desirable. Content Type(s): Publications, Books and monographs