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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.

The Bank of Canada is keenly interested in productivity - for a number of reasons. Productivity gains are a key determinant of growth in potential output and, hence, of Canada's sustainable pace of non-inflationary economic expansion.

We construct a macroeconomic estimate of total AI production in the United States, combining inference and R&D/training activities with quality adjustments to account for algorithmic progress. We then develop a nascent framework for "AI GDP" that tracks the AI economy as a coherent whole, complementing traditional national accounts.

Developments are underway to replace Canada’s two core payment systems with three new systems. We use a discrete choice model to predict migration patterns of end-users and financial institutions for future systems and discuss their policy implications.

This article examines the incentives for banks to hold various assets on their balance sheets for use as collateral when the opportunity cost of doing so can be high. Focusing on the five-year period (2002-07) that preceded the financial crisis, it examines the choices made by financial institutions among the assets that are pledged as collateral in Canada's Large Value Transfer System. This serves as a baseline for collateral-management practices during relatively normal times. The results of this study are important for policy-makers, especially the Bank of Canada, which is concerned both about the efficient functioning of fixed-income markets and about the credit risk it ultimately bears in insuring LVTS settlement. The results suggest that relative market liquidity and market-making capacity are important factors in the choice of securities pledged as collateral in the LVTS.

This issue of the Financial System Review reflects the Bank’s judgment that household indebtedness and housing market imbalances–the most important vulnerabilities for the Canadian financial system–have moved higher over the past six months. However, the financial system remains resilient, and macroeconomic conditions continue to improve. Other vulnerabilities discussed in this FSR are fragile fixed-income market liquidity and the capacity of an interconnected financial system to mitigate cyber threats.

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.

This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability.

While demographic change has been an ongoing process in Canada, labour market implications of an aging population will become more acute in coming years. This article discusses the anticipated slowing in the growth of trend labour input over the coming decades with the aging of the baby boomers, declining fertility rates, and the stabilization of the labour force attachment of women. As the pool of labour shrinks, employers and governments will be looking for ways to address barriers to continued labour force participation and firms will have a greater incentive to find ways of improving labour productivity.