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Inflation expectations are important to monetary policy decision-makers. Using survey evidence, we examine how firms and consumers react to their inflation expectations during the post-pandemic period of high inflation.

Can artificial intelligence (AI) think and act like a cash manager? In this paper we explore how generative AI agents can help manage liquidity, prioritize payments and optimize efficiency in real-time gross settlement systems.

This paper shows that survey expectations can be used to uncover how households subjectively think about inflation and unemployment dynamics jointly. The commonly documented "stagflation view", namely the households' tendency to associate inflation with a worse labor market, implies amplified impacts of supply shocks and dampened ones of demand shocks.

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.

We present core findings from the 2024 Methods-of-Payment Survey, highlighting results from both the survey questionnaire and three-day shopping diary. Although cash holdings have increased in nominal terms, we find that cash usage remains unchanged since 2020. Mobile and other alternative payment methods continue to grow in importance.

We develop a heterogeneous firm macro model with private information and quantify the aggregate relevance of asymmetric information. We find that a spike in private information account for 40% of the decline in aggregate investment during the 2007-2009 financial crisis and made monetary stimulus significantly less effective.

We introduce the Canadian Survey of Consumer Expectations indicator. This indicator provides a summary measure of consumer opinions that we can track over time. We construct three underlying sub-indexes—financial health, labour market and consumer spending—that capture different factors influencing consumers’ daily lives.

During the COVID-19 financial market crisis, central banks introduced programs to support liquidity in important core funding markets. As well as acting as a backstop to market prices, these programs produce useful trading data on prevailing market conditions. When summary information from this data is shared publicly, it can help market participants understand current conditions and aid the recovery of market functioning.

We analyze micro-level data from the Canadian Survey of Consumer Expectations through the lens of a heterogeneous-expectations model to study how inflation expectations form over the business cycle. We provide new insights into how households form expectations, documenting that forecasting behaviours, attention and noise in beliefs vary across socio-demographic groups and correlate with views about monetary policy.

We find that individuals who require help performing banking tasks or who are reluctant to adopt technology avoid digital payment systems they expect to lack usability. Addressing these issues through standard accessibility practices, live assistance and thoughtful interface design can enhance user interaction and trust.