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This article examines what market conditions lead to extreme losses in global financial systems. Using a reverse stress testing approach, it introduces two measures of systemic risk by starting from the tail losses and working backward to identify the events most closely associated with them.

We show how Treasury demand shocks transmit to foreign exchange and bond markets globally. Higher Treasury demand weakens the U.S. dollar and raises foreign bond prices, with effects persisting for two weeks. The transmission varies predictably across countries based on their monetary policy alignment with the United States.

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.

The BoC–BoE database of sovereign debt defaults, published and updated annually by the Bank of Canada and the Bank of England, provides comprehensive estimates of stocks of government obligations in default. The 2025 edition highlights a decline in the US-dollar value of sovereign debt in default and provides more data about defaults on China’s official loans.

Household savings in Canada have increased significantly since 2019, especially among homeowners without a mortgage. We assess how savings buffers can mitigate households’ financial risk in relation to asset repricing, mortgage payment renewal and unemployment.

We find that the rise in Government of Canada debt issuance correlates to growing participation of hedge funds in bond auctions since 2020. This increased participation supports the cost-effective distribution of Canada’s debt, but it also represents a potential vulnerability because hedge funds have a greater flight risk than other investor types.

We present a technical description of the Top-Down Solvency Assessment (TDSA) tool. As a solvency stress-testing tool, TDSA is used to assess the banking sector’s capital resilience to hypothetical future risk scenarios.

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.

Our understanding of news shocks is, to a large extent, based on studies that focus empirically on short-run news. This paper brings new insights by analyzing the effects of giant commodity discoveries, which typically materialize over the longer run.

We update an assessment of potential changes in payments that mortgage holders could face at renewal in 2025 and 2026. We use an enhanced dataset (RESL2) that provides a more accurate starting point for mortgage balances.