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95 Results

Artificial Intelligence and Financial Tail Risks

Staff working paper 2026-40 Javier Ojea Ferreiro, Andrea Ugolini, Juan C. Reboredo
This paper examines how market-perceived AI exposure is associated with extreme financial-sector gains and losses across five markets, using Expected Shortfall and skewness decompositions to distinguish AI-sector, macroeconomic, systemic and financial scenarios.

Stress in the Press or Stress in the Market: A New Measure of Perceived Financial Stress

Staff analytical paper 2026-50 Brett Barnes, Thibaut Duprey, Fred Liu
We develop a news-based measure of perceived financial stress for Canada using Globe and Mail articles since 1977. We show that news shocks primarily impact unsecured households credit, consistent with household precautionary behavior.

Hedge funds and bond market liquidity dynamics at the onset of the 2026 Middle East conflict

Staff analytical paper 2026-42 Vincent Meh, Jabir Sandhu, Andreas Uthemann
We investigate whether hedge funds contributed to Government of Canada bond market illiquidity at the onset of the Middle East war in early 2026. We find no evidence they did. Hedge funds remained active in primary auctions, while their secondary market trading remained broadly consistent with their usual relative-value strategies.

Uncovering the use of haircuts in the Canadian repo market

Staff analytical paper 2026-39 Sadia Anum, Jabir Sandhu, Adrian Walton
We show that haircuts are rarely used in the Canadian dealer-to-client repo market and their usage did not increase materially during past stress events. Usage is concentrated among wealth managers and some foreign official institutions, likely reflecting regulatory or internal requirements.

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.

Perceived interconnections between Canadian banks and non-bank financial intermediaries under stress

Staff analytical note 2025-26 Javier Ojea Ferreiro
I study the links between Canadian banks and non-bank financial intermediaries (NBFIs) by observing co-movements in stock prices. Perceived interconnections increased before the COVID-19 pandemic but have since stabilized, with the strongest ties seen between large banks and NBFIs. The secured credit line extended to Home Trust, a non-bank mortgage lender that experienced severe funding stress in 2017, significantly reduced banks' risk exposure to NBFIs during this episode.

An update on the Canadian money market mutual fund sector

Staff analytical note 2025-25 Jabir Sandhu, Sofia Tchamova, Rishi Vala
We examine the Canadian money market fund (MMF) sector and find that it has grown rapidly, holding a large share of treasury bills and commercial paper. Unlike in some other jurisdictions where investor outflows likely amplified stresses, Canadian MMFs experienced inflows during the March 2020 market turmoil.

Financial Shocks and the Output Growth Distribution

This paper studies how financial shocks shape the distribution of output growth by introducing a quantile-augmented vector autoregression (QAVAR), which integrates quantile regressions into a structural VAR framework. The QAVAR preserves standard shock identification while delivering flexible, nonparametric forecasts of conditional moments and tail risk measures for gross domestic product.
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