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We study how participants in the Lynx payment system use the net send limit (NSL) tool to control their intraday payment outflow levels. Our results show that participants typically adopt a “set it and forget it” approach to scheduling NSLs and sometimes have distinct intraday NSL adjustment behaviours.

This paper examines the predictive power of credit spreads from the corporate bond market. The high-yield bond spread and investment-grade spread can explain 68 per cent and 42 per cent of output variations one year ahead, while the term spread based on government debts can explain only 12 per cent of them.

In an economy where production takes place in multiple stages and is subject to financial frictions, how firms finance intermediate inputs matters for aggregate outcomes. This paper focuses on trade credit—the lending and borrowing of input goods between firms—and quantifies its aggregate impacts during the Great Recession.

Crowdfunding may enable unique products to reach the consumer market. I model a crowdfunding technology that publicly screens consumer demand early in the production process. In this model, entrepreneurs like crowdfunding for risky projects where demand is uncertain, but not for large, safe projects or for projects where production costs are uncertain.

This special issue, “Real-Financial Linkages,” examines the Bank’s research using theoretical and empirical models to improve its understanding of the linkages between financial and macroeconomic developments in the wake of the recent global financial crisis.

This paper compares price-level-path targeting (PT) with inflation targeting (IT) in a sticky-price, dynamic, general equilibrium model augmented with imperfections in both the debt and equity markets.

How important are the benefits of low price-level uncertainty? This paper explores the desirability of price-level path targeting in an estimated DSGE model fit to Canadian data. The policy implications are based on social welfare evaluations.

This paper quantifies the effects of improving public equity markets on macroeconomic aggregates and welfare. I use an open-economy extension of Angeletos (2007), where entrepreneurs face idiosyncratic productivity risk in privately held firms.

This paper studies the relationship between bank holding company affiliation and the individual and systemic risk of banks. Using the 2005 hurricane season in the US as an exogenous shock to bank balance sheets, we show that banks that are part of a holding parent company are more resilient than independent banks.

This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used.