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This paper explores the impact of extreme weather exposures on the financial outcomes of low-income households. Our findings highlight the heightened financial vulnerability of low-income households to environmental shocks and underscore the need for targeted policies.

This paper seeks to understand how outward foreign direct investment (FDI) affects the productivity of Canadian firms. We estimate the impact of outward greenfield investment on measures of firm-level productivity using FDI data from roughly 2,000 Canadian firms and more than 4,000 outward FDI projects over the 2003–14 period.

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.

We study the causal effect of mortgage rate changes on consumer spending, debt repayment and defaults during an expansionary and a contractionary monetary policy episode in Canada. We find asymmetric responses of consumer durable spending, deleveraging and defaults. These findings help us to understand household sector response to interest rate changes.

The degree to which financial constraint is binding is often not directly observable in commonly used business data sets (e.g., Compustat). In this paper, we measure and estimate the likelihood of a firm being constrained by external financing using a data set of small- and medium-sized Canadian firms.

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 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.

When investors redeem their fund shares for cash, fixed-income fund managers can choose whether to draw on their liquid holdings or sell bonds in the secondary market. We analyze the liquidity-management decisions of Canadian corporate bond mutual funds, focusing on the strategies they use to meet investor redemptions.

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.