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42 Results

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.

The Role of Long-Term Contracting in Business Lending

Staff working paper 2024-2 Phoebe Tian
This paper examines inefficiencies arising from a lack of long-term contracting in small business lending in China.

2022 Methods-of-Payment Survey Report: Cash Use Over 13 Years

Staff discussion paper 2024-1 Christopher Henry, Doina Rusu, Matthew Shimoda
We present results from the 2022 Methods-of-Payment Survey, including updated payment shares based on a three-day shopping diary. We also assess various factors associated with long-term trends in cash use.
Content Type(s): Staff research, Staff discussion papers JEL Code(s): D, D8, D83, E, E4, E41 Research Theme(s): Money and payments, Cash and bank notes, Retail payments

Inflation, Output, and Welfare in the Laboratory

Staff working paper 2023-11 Janet Hua Jiang, Daniela Puzzello, Cathy Zhang
We investigate the effect of inflation on output and welfare in the laboratory. Consistent with monetary theory, we find that inflation acts as a tax on monetary exchange and reduces output and welfare.

Summaries of Central Bank Policy Deliberations: A Canadian Context

This paper provides the context, rationale and key considerations that informed the Bank of Canada’s decision to publish a summary of monetary policy deliberations. It includes an analysis of how other central banks disclose minutes and summaries of their monetary policy deliberations.

Geographical and Cultural Proximity in Retail Banking

This paper measures how both geographical and cultural proximity of bank branches affect household credit choice and pricing. For credit products that require high levels of ex-ante screening, we find that both proximities can complement each other in reducing the cost of providing soft information, thereby increasing credit access.

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.

CANVAS: A Canadian Behavioral Agent-Based Model

The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis.

Behavioral Learning Equilibria in New Keynesian Models

Staff working paper 2022-42 Cars Hommes, Kostas Mavromatis, Tolga Özden, Mei Zhu
We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.
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