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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.

We document that, across households, the money consumption ratio increases with age and decreases with consumption, and that there has been a large increase in the money consumption ratio during the recent era of very low interest rates. We construct an overlapping generations (OLG) model of money holdings for transaction purposes subject to age (older households use more money), cohort (younger generations are exposed to better transaction technology), and time effects (nominal interest rates affect money holdings).

We study liquidity requirements in a framework with fire sales. The framework nests three common pricing mechanisms and produces the same observables. Absent risk-sharing considerations, the equilibrium is efficient with cash-in-the-market pricing; a liquidity requirement is optimal with second-best-use pricing; and a liquidity ceiling (i.e., a cap on liquid assets) is optimal with adverse selection.

This special issue discusses tools used at Bank of Canada to conduct current analysis - the collection and analysis of a broad spectrum of information to form a view of current economic activity. This analysis is a key input into the Bank’s monetary policy decision-making process.

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.

We enhance benchmarks for assessing strength in the Canadian labour market. We find the labour market remains tight despite recent strong increases in labour supply, including among prime-working-age women. We also assess the anticipated easing in labour conditions in a context of high population growth.

Bank of Canada Governor Mark Carney speaks about central bank policy guidance.

An essential element of the Bank of Canada's inflation-targeting framework is a floating exchange rate that is free to adjust in response to shocks that affect the Canadian and world economies. This floating rate plays an important role in the transmission mechanism for monetary policy. A practical question is how the Bank of Canada incorporates currency movements into the monetary policy decision-making process. Only after determining the cause and persistence of exchange rate change, and its likely net effect on aggregate demand, can the Bank decide on the appropriate policy response to keep inflation low, stable, and predictable. Ragan reviews the need to target inflation and the transmission mechanism for monetary policy, including the role of the exchange rate, before describing two types of exchange rate movements and their implications for monetary policy.

We develop a simulation-based procedure to test for stock return predictability with multiple regressors. The process governing the regressors is left completely free and the test procedure remains valid in small samples even in the presence of non-normalities and GARCH-type effects in the stock returns.

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.