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Should a CBDC be more like cash or bank deposits? An interest-bearing, cash-like CBDC not only makes payments more efficient but also increases total demand. This has positive effects on other transactions, inducing more deposit taking and lending and, thus, bank intermediation.

We study how the transmission of monetary policy innovations is affected by the endogenous response of the central bank to macroeconomic aggregates in a two-agent New Keynesian model. We focus on how the stance of monetary policy and the fraction of savers in the economy affect transmission.

Modeling and estimating persistent discrete data can be challenging. In this paper, we use an autoregressive panel probit model where the autocorrelation in the discrete variable is driven by the autocorrelation in the latent variable. In such a non-linear model, the autocorrelation in an unobserved variable results in an intractable likelihood containing high-dimensional integrals.

Using a novel dynamic portfolio balance model of the yield curve for Government of Canada bonds, I find that the Bank of Canada’s Government of Canada Bond Purchase Program reduced Canadian 10-year and 5-year zero-coupon yields by 84 and 52 basis points, respectively.

We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

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?

In this piece we show that a limit on the level of asset encumbrance and minimum capital requirements are effective tools for minimizing the incentive for banks to take excessive risk.

This paper theoretically and empirically examines the price impacts of liquidations in DeFi and how different liquidation mechanisms affect the price impacts.

This paper studies the music streaming industry and argues that having exclusive rights granted by copyright law drives firms to offer exclusive content to lock in customers. I employ theoretical and descriptive empirical analysis, along with a dynamic structural model, to support the argument and explore policies for improving competition.

Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.