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2121 Results

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.

A Macroeconomic Model of an Epidemic with Silent Transmission and Endogenous Self-isolation

Staff working paper 2020-50 Antonio Diez de los Rios
We study the interaction between epidemics and economic decisions in a model that has silent transmission of the virus. We find that rational behaviour strongly diminishes the severity of the epidemic but worsens the economic recession. We also find that the detection and isolation of not only symptomatic individuals but also those who are infected and asymptomatic or mildly symptomatic can reduce the severity of the recession caused by the pandemic.

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.

The impact of the Bank of Canada’s Government Bond Purchase Program

We assess the response of Government of Canada bond yields to the Bank of Canada’s initial announcement of the Government Bond Purchase Program (GBPP) as well as to the Bank’s later GBPP purchase operations.

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.

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 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.

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?

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.
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