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Risk-management systems in financial institutions have come under increasing scrutiny in light of the current financial crisis, resulting in calls for improvements and an increased role for regulators. Yet such objectives miss the intricacy at the heart of the risk-management process. This article outlines the complexity inherent in any modern risk-management system, which arises because there are shortcuts in the theoretical models that risk managers need to be aware of, as well as the difficulties in sensible calibration of model parameters. The author suggests that prudential regulation of such systems should focus on failures within the financial firm and in the market interactions between firms and reviews possible strategies that can improve the performance of risk management and microprudential regulatory practice.

Consumers often express concerns about lack of privacy, but they still give up a lot of data to digital platforms. This paper builds a dynamic game-theoretic model of data collection and privacy protection, which potentially explains consumers’ behaviour.

We conduct surveys to study how consumer spending responds to higher inflation expectations. Most respondents spend the same, sticking to fixed budget plans or not considering inflation for spending decisions. About 20% decrease spending because they feel poorer and cut spending to invest in inflation-proof assets. Very few increase spending.

This paper studies exchange rate dynamics by incorporating bounded rationality, that is, limited foresight, in a small open-economy model. This behavior of limited foresight helps explain several observations and puzzles in the data of exchange rate movements.

How do banks adjust their loan rate markup in response to macroeconomic shocks?

This article examines recent research on the influence of various forms of economic uncertainty on the performance of different classes of monetary policy rules: from simple rules to fully optimal monetary policy under commitment. The authors explain why uncertainty matters in the design of monetary policy rules and provide quantitative examples from the recent literature. They also present results for several policy rules in ToTEM, the Bank of Canada's main model for projection and analysis, including rules that respond to price level, rather than to inflation.

The Canadian dollar has declined against the US dollar since October 2024, mostly due to rising uncertainty around trade policies. A widening differential in policy interest rates between the two countries has also played a modest role.

Oil prices have declined sharply over the past three years. While both supply and demand factors played a role in the large oil price decline of 2014, global supply growth seems to have been the predominant force. The most important drivers were likely the surprising growth of US shale oil production, the output decisions of the Organization of the Petro-leum Exporting Countries and the weaker-than-expected global growth that followed the 2009 global financial crisis.

We introduce a model to detect periods of extrapolative house price expectations across Canadian cities. The House Price Exuberance Indicator can be updated on a quarterly basis to support the Bank of Canada’s broader assessment of housing market imbalances.

Central banks are still defining their approach to financial stability and are at an early stage in the development of useful models. The Bank of Canada's 2007 economic conference was organized to stimulate progress in the development of financial-stability frameworks. Among the highlights reported here are the discussions centred around three proposed frameworks: a contingent-claims-analysis framework, a semi-structural framework, and structural financial-stability models. Participants also reported on their experiences with stress-testing under the International Monetary Fund's Financial Sector Assessment Program and discussed the implications for financial stability of linkages among payment, clearing, and settlement systems.