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3041 Results

Privacy-Enhancing Technologies for CBDC Solutions

Staff Discussion Paper 2025-1 Rakesh Arora, Han Du, Raza Ali Kazmi, Duc-Phong Le
Privacy-enhancing technologies (PETs) could offer solutions to safeguard end-user privacy and meet rigorous data protection standards for central bank digital currencies. We consider how PETs can transform privacy design in financial systems and the implications of their broader adoption.

Predicting Payment Migration in Canada

Staff Working Paper 2020-37 Anneke Kosse, Zhentong Lu, Gabriel Xerri
Developments are underway to replace Canada’s two core payment systems with three new systems. We use a discrete choice model to predict migration patterns of end-users and financial institutions for future systems and discuss their policy implications.

Comparison of Bayesian and Sample Theory Parametric and Semiparametric Binary Response Models

We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models.
Content Type(s): Staff research, Staff working papers Research Topic(s): Credit risk management, Econometric and statistical methods JEL Code(s): C, C1, C14, C3, C35, C5, C51, C6, C63, D, D1

Credit Crunches from Occasionally Binding Bank Borrowing Constraints

Staff Working Paper 2017-57 Tom D. Holden, Paul Levine, Jonathan Swarbrick
We present a model in which banks and other financial intermediaries face both occasionally binding borrowing constraints and costs of equity issuance. Near the steady state, these intermediaries can raise equity finance at no cost through retained earnings.
August 15, 2013

Monitoring Short-Term Economic Developments in Foreign Economies

The Bank of Canada uses several short-term forecasting models for the monitoring of key foreign economies - the United States, the euro area, Japan and China. The design of the forecasting models used for each region is influenced by the level of detail required, as well as the timeliness and volatility of data. Forecasts from different models are typically combined to mitigate model uncertainty, and judgment is applied to the model forecasts to incorporate information that is not directly reflected in the most recent indicators.
Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Business fluctuations and cycles JEL Code(s): E, E3, E37

Understanding the Systemic Implications of Climate Transition Risk: Applying a Framework Using Canadian Financial System Data

Our study aims to gain insight on financial stability and climate transition risk. We develop a methodological framework that captures the direct effects of a stressful climate transition shock as well as the indirect—or systemic—implications of these direct effects. We apply this framework using data from the Canadian financial system.
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