Registration Is Open for Toronto Centre's New Program, "Climate and Biodiversity Loss: Scenario Analysis and Stress Testing"
Financial supervisors can deepen their understanding of climate risks and biodiversity loss scenario analysis and stress testing through advanced analytical techniques with this new Climate Risk Certification program.
Toronto Centre is Accepting Applications for 2025 International Women's Day Scholarships
Applications close on Friday, 28 February 2025. Winners will be announced on social media on International Women's Day.
The Supervision of Financial Institutions' Climate-Related Transition Planning
This publication explores two types of transition plans: those focused on internal risk management and those aimed at reducing the institutions' own contributions to climate-related change and sets out what these mean for supervision.
Supervision of Financial Institutions' Business Models
This Toronto Centre Note explores how financial supervisors can evaluate business models to prevent prudential and conduct failures and how to engage with boards and senior management on this topic to mitigate risks and ensure long-term resilience.
The Role of Supervision in the Financial Inclusion of Forcibly Displaced Persons
This Note discusses the expansion of access to finance for forcibly displaced persons and the unique challenges it presents for financial regulators and supervisors.
Supervising Inclusive Financial Sectors
This TC Note brings together principles and practices related to financial sector oversight that are relevant to financial inclusion, including proportionate regulation, risk-based supervision, and consumer empowerment.
Supervising Migrant Insurance and Pensions
This TC Note explains why insurance and pensions for migrant workers is an important area of focus for supervisors.
Food Security: Implications for Supervisors
This Note examines the topic of food security addressing the issues that supervisors face, given their mandate and the overlap of issues.
Supervisory Implications of Artificial Intelligence and Machine Learning
This Note describes some of the uses of artificial intelligence and machine learning by financial institutions; considers the supervisory responses to such uses; and highlights some ways in which supervisory authorities can themselves use AI and ML to improve the effectiveness and efficiency of supervision.