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
Untapped Potential: Mobile Device Ownership and Mobile Payments in Canada Staff working paper 2024-25 Marie-Hélène Felt, Angelika Welte, Katrina Talavera We present a two-stage model of mobile phone and mobile payment usage that controls for selectivity. This reveals unobserved factors that work against having a mobile phone and toward mobile paying. Therefore, people who are unable to acquire or choose not to own a mobile device might have unmet payment needs. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C39, D, D1, D12, E, E4, E42 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech, Retail payments
Does US or Canadian Macro News Drive Canadian Bond Yields? Staff analytical note 2018-38 Bruno Feunou, Rodrigo Sekkel, Morvan Nongni-Donfack We show that a large share of low-frequency (quarterly) movements in Canadian government bond yields can be explained by macroeconomic news, even though high-frequency (daily) changes are driven by other shocks. Furthermore, we show that US macro news—not domestic news— explains most of the quarterly variation in Canadian bond yields. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C2, C22, E, E4, E43 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Monetary policy framework and transmission, Structural challenges, International trade, finance and competitiveness
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
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 Under Uncertainty: Practice Versus Theory Staff discussion paper 2017-13 Rhys R. Mendes, Stephen Murchison, Carolyn A. Wilkins For central banks, conducting policy in an environment of uncertainty is a daily fact of life. This uncertainty can take many forms, ranging from incomplete knowledge of the correct economic model and data to future economic and geopolitical events whose precise magnitudes and effects cannot be known with certainty. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E5, E52, E58, E6, E61, E65 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Monetary policy tools and implementation
The Extensive Margin of Trade and Monetary Policy Staff working paper 2018-37 Yuko Imura, Malik Shukayev This paper studies the effects of monetary policy shocks on firms’ participation in exporting. We develop a two-country dynamic stochastic general equilibrium model in which heterogeneous firms make forward-looking decisions on whether to participate in the export market and prices are staggered across firms and time. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, F, F1, F12, F4, F44 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, International trade, finance and competitiveness
May 16, 2013 Unconventional Monetary Policies: Evolving Practices, Their Effects and Potential Costs Bank of Canada Review - Spring 2013 Lena Suchanek, Eric Santor Following the recent financial crisis, major central banks have introduced several types of unconventional monetary policy measures, including liquidity and credit facilities, asset purchases and forward guidance. To date, these measures appear to have been successful. They restored market functioning, facilitated the transmission of monetary policy and supported economic activity. They have potential costs, however, including challenges related to the greatly expanded balance sheets of central banks and the eventual exit from these measures, as well as the vulnerabilities that can arise from prolonged monetary accommodation. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E5, E52, E58, E6, E65
Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models? Staff working paper 2017-21 Vadym Lepetyuk, Lilia Maliar, Serguei Maliar How wrong could policymakers be when using linearized solutions to their macroeconomic models instead of nonlinear global solutions? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C61, C63, C68, E, E3, E31, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission
February 21, 2013 The U.S. Recovery from the Great Recession: A Story of Debt and Deleveraging Bank of Canada Review - Winter 2012-2013 Brady Lavender, Nicolas Parent The U.S. recovery from the Great Recession has been slow relative to other postwar-era recoveries in the United States. Encouraged by loose lending standards in the pre-crisis period, U.S. households took on unsustainable amounts of debt, making them vulnerable to adverse shocks. Subsequently, a considerable drop in asset prices forced households to repair their balance sheets. While there has been progress in household deleveraging, the government sector now needs to delever, which will restrain growth over the next few years. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E2, E21, E6, E60