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Existing literature documents that house prices respond to monetary policy surprises with a significant delay, taking years to reach their peak response. We present new evidence of a much faster response.

Can regulators keep pace with banks’ creative regulatory workarounds? Our analysis unpacks the trade-offs between fixed regulations and crisis-triggered rules, showing that the latter are especially prone to circumvention—and can trigger larger, costlier bailouts.

Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash.

Since the creation of Bitcoin in 2009, over 2,000 cryptocurrencies have been issued. We evaluate how well a cryptocurrency functions as a payment system.

We consider ways central banks could adapt in the event of an increased risk of a dash for cash from asset managers. We explore ideas such as new facilities that ease asset managers’ ability to convert existing assets to cash or new assets with liquidity that central banks would guarantee.

We assess whether unconventional monetary and fiscal policy implemented in response to the COVID-19 pandemic in the U.S. contribute to the 2021-2023 inflation surge through the lens of several different empirical methodologies and establish a null result.

After the financial crisis of 2007–09, many jurisdictions introduced new banking regulations to make banks more resilient and less likely to fail. These regulations included tighter limits for the quality and quantity of bank capital and introduced minimum standards for liquidity. But what was the impact of these changes?

We study competition for consumer attention, in which platforms can sacrifice service quality for attention. A platform can choose the “addictiveness” of its service.

We identify the drivers of unsecured and collateralized loan volumes, rates and haircuts in Canada using the Bayesian model averaging approach to deal with model uncertainty. Our results suggest that the key friction driving behaviour in this market is the collateral reallocation cost faced by borrowers.

We show that the utility function and the error distribution are non-parametrically over-identified under Quantal Response Equilibrium (QRE). This leads to a simple test for QRE. We illustrate our method in a Monte Carlo exercise and a laboratory experiment.