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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.

Recent years have seen renewed interest in the regulation of interbank markets. A review of the literature in this area identifies two gaps: first, the literature has tended to make ad hoc assumptions about the interbank contract space, which makes it difficult to generate convincing policy prescriptions; second, the literature has tended to focus on ex-post interventions that kick in only after an interbank disruption has come underway (e.g., open-market operations, lender-of-last-resort interventions, bail-outs), rather than ex-ante prudential policies.

The world needs an international institution to promote a new monetary order—a well-functioning, market-based global financial system. This will be the subject of my remarks today.

We are three years into the global financial crisis, and its dynamics still dominate the economic outlook. In particular, broad forces of bank, household, and sovereign deleveraging can be expected to add to the variability and temper the pace of global economic growth in the years ahead.

Deputy Governor Sharon Kozicki talks about how the Bank of Canada is using non-traditional data to better inform its monetary policy decisions.

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.

Microfinance institutions now serve over 10 million poor households in the developing and developed world, and much of their success has been attributed to their innovative use of peer group lending. There is very little empirical evidence, however, to suggest that group lending schemes offer a superior institutional design over lending programs that serve individual borrowers.

The author models the choice between credit cards and home equity lines of credit (HELOCs) within a framework where consumers hold lines of credit as instruments of consumption smoothing across state and time.

The objective of this article is to improve our understanding of counterfeiting and its policy implications by reviewing research in this area. There has been almost no empirical work on counterfeiting because of the limited availability of counterfeiting data and related statistics. The authors therefore focus on theoretical studies that directly model the behaviour of the relevant economic agents. They first establish some stylized facts about counterfeiting to provide a general understanding of the problem. They then briefly review several models of counterfeiting and summarize their relevant insights, focusing on the implications of the findings for the incentive to counterfeit, social welfare and anti-counterfeiting policies. The authors find that the policy implications of these studies support the Bank’s comprehensive anti-counterfeiting strategy.