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Using stock market data on banks, we show that the book value of loans recognizes losses with a delay. This delayed accounting is important for regulation because the requirements regulators impose are based on book values.

We characterize the bias in cross-sectional Hill estimates caused by common underlying factors and propose two simple-to-implement remedies. To test for the presence, direction and size of the bias, we use monthly US stock returns and annual US Census county population data.

The rise in digital payment innovations has spurred a discussion about the future of cash at the point of sale. The Bank conducted the 2021–22 Merchant Acceptance Survey Pilot Study to study trends in merchant cash acceptance and monitor conditions for the potential issuance of a central bank digital currency.

The 2025 Methods-of-Payment Survey provides insights into how Canadians pay for their day-to-day purchases and how they use cash (i.e. banknotes and coins). While contactless card payments dominate in-person transactions, most Canadians maintain favourable views on cash and still hold and use it. They are also increasingly adopting mobile payments.

As part of modernizing its core payments infrastructure, Canada will replace the Large Value Transfer System (LVTS) with a new Real-Time Gross Settlement (RTGS) system called Lynx. An important question for policy-makers is how Lynx should be designed.

Does the transmission of monetary policy change when interest rates are low or negative? We shed light on this question by analyzing the international bank lending channels of monetary policy using regulatory data on banks from four small open economies: Canada, Chile, the Czech Republic and Norway.

Funding structures affected the amount of financial stress different countries and sectors experienced during the spread of COVID-19 in early 2020. Policy responses targeting specific vulnerabilities were more effective at mitigating this stress than those supporting banks or the economy more broadly.

Resource shares, defined as the fraction of total household spending going to each person in a household, are important for assessing individual material well-being, inequality and poverty. They are difficult to identify because consumption is measured typically at the household level, and many goods are jointly consumed, so that individual-level consumption in multi-person households is not directly observed.

Standard monetary models adopt an infinite horizon with discounting. Testing these models in the lab requires implementing this horizon within a limited time frame. We compare three approaches to such an implementation and discuss their relative advantages.

This research develops a model in which the economy is directly influenced by how pessimistic or optimistic economic agents are about the future. The agents may hold different views and update them as new economic data become available.