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289 Results

From Stress to Strategy: How Banks Balance the Scales

Staff working paper 2026-26 Ruben Hipp, Javier Ojea Ferreiro
This paper develops a stress-testing framework in which banks strategically adjust their balance sheets in response to regulatory constraints and market conditions. Applied to Canada’s largest banks, it quantifies the effects of macroprudential policies on lending and identifies systemic vulnerabilities through reverse stress testing.

The trade-offs between different designs of tokenized systems

Sparks at Bank article Sriram Darbha, Rakesh Arora
As interest in tokenization grows, so too does the focus on the design of tokenized systems. Different approaches—such as centralized or decentralized systems—could achieve similar outcomes. But the choice of design involves consequential trade-offs that shape how the entire ecosystem evolves.

The Impact of Potential Retail Central Bank Digital Currency on the Canadian Financial System During a Severe Recession

Staff analytical paper 2026-30 Sofia Priazhkina
This policy note examines how a non-interest-bearing retail central bank digital currency (CBDC) could affect the financial stability of Canada’s systemically important banks during a severe recession. Stress test results show that the banks remain resilient, maintaining key regulatory ratios even under high CBDC demand.

Understanding Systemic Risks in the Canadian Financial System

This paper reviews recent efforts to monitor and assess systemic risk in the Canadian financial system and outlines a framework for future system-wide stress testing.

Central Bank Crisis Interventions and the Term Structure of Market Fear

How do central bank crisis interventions calm market fears? Using options data, we measure the perceived risk of large asset price drops across horizons from two weeks to ten years. Studying the Fed's response to the 2020 turmoil, we find asset purchases reduce short-term fears while interest rate actions shape long-term expectations.

Integrating Non-traditional Data and AI into Central Banking: A Canadian Perspective

This paper reviews how central banks are integrating non traditional data and artificial intelligence (AI) into policy analysis and operations. Using the Bank of Canada’s experience, it examines emerging applications, governance challenges, and strategic choices for responsibly scaling AI to enhance insight, efficiency, and institutional resilience.

When parents co‑sign a mortgage to help their adult children buy their first home

Sparks at Bank article Shaoteng Li
Rising housing costs are leading to an increasing share of first-time homebuyers seeking financial support from their parents. Specifically, Canada has experienced a noticeable rise in instances of parents co-signing mortgages with their adult children. This practice allows buyers to purchase more expensive homes—but it can also make both parties vulnerable to financial disruptions.

Examining the macro drivers of mortgage arrears in Canada

Staff analytical paper 2026-12 Thomas Michael Pugh, Tao Wang, Taylor Webley
Mortgage debt represents over 70% of all Canadian household financial liabilities, and the performance of these debts is critical to the health of the financial system. We explore the relationships between mortgage arrears and key macroeconomic fundamentals such as labour market variables, interest rates, house prices and inflation. We then develop a framework to assess future household mortgage stress.

Government of Canada Fixed-Income Market Ecology II: Government of Canada Bond Dealing

Staff analytical paper 2026-11 Petr Kocourek, Adrian Walton
This analytical paper examines the organization of Government of Canada bond dealing. We focus on dealers’ hedging and funding practices, the market infrastructures that support those practices, and trading costs across the yield curve. This paper builds on earlier work discussing Canada’s fixed-income market: "Government of Canada Fixed-Income Market Ecology."

Repo transaction costs and balance sheet frictions

Staff analytical paper 2026-10 Yanis Belkacem, Fabienne Schneider, Adrian Walton
We develop an approach to quantify transaction costs in the repo market using OTC transaction data, where quoted bid-ask spreads are not observable. By estimating effective spreads at the level of individual trades, we construct a novel metric to evaluate intermediation costs across different segments of the market.
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