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Recent consumer and merchant surveys show a decrease in the use of cash at the point of sale. Increasingly, consumers and merchants have access to a growing array of payment innovations as substitutes for cash.

Over the last few decades, real interest rates have trended downward. The most common explanation is that this reflects depressed demand due to demographic, technological and other real factors. We explore the claim that these trends may have been amplified by certain features of monetary policy.

Oracles are constructs used in decentralized finance to price assets relative to each other. However, oracles contain defects that could lead to manipulation attacks. Such attacks exploit pricing models embedded within oracles to defraud creators and users. We automatically verify defects, which if mitigated, improves the security of digital currency.

We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes.

We propose a new strength measure of the global financial cycle by estimating a regime-switching factor model on cross-border equity flows for 61 countries. We then assess how the strength of the global financial cycle affects monetary policy independence, which is defined as the response of central banks' policy interest rates to exogenous changes in inflation.

Would a shift in trading in fixed-income markets—from over the counter (bilateral trading) to a centralized electronic platform—improve welfare? We use trade-level data on the secondary market for Government of Canada debt to answer this question.

We create a theoretical model of central bank asset purchases. The model helps explain how, in a crisis, these purchases ease pressures on investment dealers.

What are the main drivers behind the monetary policy reaction function of the People’s Bank of China?

We provide an analysis of cash trends in Canada before and during the COVID-19 pandemic. We also consider the potential two scenarios for issuance of a central bank digital currency in Canada: the emergence of a cashless society or the widespread use of an alternative digital currency in Canada. Finally, we discuss the Canadian experience in maintaining cash as an efficient and accessible method of payment and store of value.

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.