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
Are Temporary Oil Supply Shocks Real? Staff working paper 2022-52 Johan Brannlund, Geoffrey R. Dunbar, Reinhard Ellwanger Hurricanes disrupt oil production in the Gulf of Mexico because producers shut in oil platforms to safeguard lives and prevent damage. We examine the effects of these temporary oil supply shocks on real economic activity in the United States. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E31, E32, Q, Q3, Q31, Q4, Q41, Q43 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
Bank Screening Heterogeneity Staff working paper 2016-56 Thibaut Duprey Production efficiency and financial stability do not necessarily go hand in hand. With heterogeneity in banks’ abilities to screen borrowers, the market for loans becomes segmented and a self-competition mechanism arises. When heterogeneity increases, the intensive and extensive margins have opposite effects. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G14, G2, G21, L, L1, L13 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Household and business credit
Interbank Asset-Liability Networks with Fire Sale Management Staff working paper 2020-41 Zachary Feinstein, Grzegorz Halaj Raising liquidity when funding is stressed creates pressure on the financial market. Liquidating large quantities of assets depresses their prices and may amplify funding shocks. How do banks weathering a funding crisis contribute to contagion risk? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C62, C63, C7, C72, G, G0, G01, G1, G11 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
Gazing at r-star: A Hysteresis Perspective Staff working paper 2023-5 Paul Beaudry, Katya Kartashova, Césaire Meh Many explanations for the decline in real interest rates over the last 30 years point to the role that population aging or rising income inequality plays in increasing the long-run aggregate demand for assets. Notwithstanding the importance of such factors, the starting point of this paper is to show that the major change driving household asset demand over this period is instead an increased desire—for a given age and income level—to hold assets. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E31, E4, E43, E5, E52, E58, E6, E62, G, G5, G51, H, H6 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
Privacy in CBDC technology Staff analytical note 2020-9 Sriram Darbha, Rakesh Arora Privacy is a key aspect of a potential central bank digital currency system. We outline different technical choices to enact various privacy models while complying with the appropriate regulations. We develop a framework to evaluate privacy models and list key risks and trade-offs in privacy design. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E4, E42, E5, E51, O, O3 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures
The Productivity Slowdown in Canada: An ICT Phenomenon? Staff working paper 2019-2 Jeffrey Mollins, Pierre St-Amant We ask whether a weaker contribution of information and communication technologies (ICT) to productivity growth could account for the productivity slowdown observed in Canada since the early 2000s. To answer this question, we consider several methods capturing channels through which ICT could affect aggregate productivity growth. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D24, O, O4, O41, O47 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity
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. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E50, E58 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Stagflation and Topsy-Turvy Capital Flows Staff working paper 2022-46 Julien Bengui, Louphou Coulibaly Unregulated capital flows are likely excessive during a stagflation episode, owing to a macroeconomic externality operating through the economy’s supply side. Inflows raise domestic wages and cause unwelcome upward pressure on firm costs, yet market forces likely generate such inflows. Optimal capital flow management instead requires net outflows. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D6, D62, E, E5, E52, F, F3, F32, F38, F4, F41 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Structural challenges, International trade, finance and competitiveness
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