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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.

Because commodity prices help determine Canada’s terms of trade, employment, income and, ultimately, inflation, it is important to understand what causes them to fluctuate. Since the early 1900s, there have been four commodity price supercycles—which we define as extended periods of boom and bust that can take decades to complete. Now in its downswing phase, the current supercycle started after growth in China and other emerging-market economies in the mid-1990s resulted in an unexpected demand shock. The extent of this downswing depends on numerous factors that are presently uncertain.

Currency crises in the 1990s, especially those in emerging markets, have sharply disrupted economic activity, affecting not only the country experiencing the crisis, but also those with trade, investment, and geographic links. The authors review the theoretical literature and empirical evidence regarding these crises. They conclude that their primary cause is a fixed nominal exchange rate combined with macroeconomic imbalances, such as current account or fiscal deficits, that the market perceives as unsustainable at the prevailing real exchange rate. They also conclude that currency crises can be prevented through the adoption of sound monetary and fiscal policies, effective regulation and supervision of the financial sector, and a more flexible nominal exchange rate.

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.

Decentralized finance surged in popularity around 2020. We explore its value and limitations and highlight some potential regulatory concerns.

In this study, we measure SMBs’ access to cash using the driving distance to financial institution (FI) branches. First, we measure the distance between SMBs and the nearest FI branch. Second, we use a sample of 651 SMBs from the 2023 Merchant Acceptance Survey to examine SMBs’ banking choices.

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.

In August 2012, the New York Stock Exchange launched the Retail Liquidity Program (RLP), a trading facility that enables participating organizations to quote dark limit orders executable only by retail traders.

Increased sovereign credit risk is often associated with sharp currency movements. Therefore, expectations of the probability of a sovereign default event can convey important information regarding future movements of exchange rates.

ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution.