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Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems.

Financial market expectations regarding future changes in the target for the overnight rate of interest are an important source of information for the Bank of Canada. Financial markets are the mechanism through which the policy rate affects other financial variables, such as longer-term interest rates, the exchange rate, and other asset prices. An accurate measure of their expectations can therefore help policy-makers assess the potential impact of contemplated changes. Johnson focuses on the expectations hypothesis, which measures expectations of future levels of the target overnight rate as implied by current money market yields. Although expectations can be derived from the current yield on any short-term fixed-income asset, some assets have proven to be more accurate predictors than others. The implementation of a policy of fixed-announcements dates has coincided with the increased predictive power of these short-term assets. As a result of this improvement, a relatively simple model of the yield curve can now provide an accurate measure of financial market expectations.

How should central banks design monetary policy in stable times and during recessions? We run a horse race between five monetary policy frameworks in an experimental laboratory to assess how well the different approaches can manage the public’s expectations and stabilize the economy.

We study consumer cash inventory behavior by developing a dynamic model of forward-looking consumers and estimating structural parameters of the model using detailed consumer survey data. Consumers facing holding and withdrawal costs solve a discrete-time continuous-control dynamic programming problem to optimally use cash at the point of sale.

This paper evaluates the effects of high-frequency uncertainty shocks on a set of low-frequency macroeconomic variables that are representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies.

We conduct experiments with human subjects in a model with a positive production externality in which productivity is a non-decreasing function of the average level of employment of other firms.

We present two models for long-term inflation expectations and inflation risk premiums for Canada.

China's integration into the world economy has benefited its people by reducing poverty and raising living standards, and it has benefited the industrialized world by producing manufactured goods at lower cost. It has also raised geopolitical concerns as China's power grows, economic concerns as the manufacturing base in many industrialized countries erodes, and polemics as proposals of protectionist measures to counter China's export growth are put forward.

We evaluate forecasts for the euro area in data-rich and ‘data-lean' environments by comparing three different approaches: a simple PMI model based on Purchasing Managers' Indices (PMIs), a dynamic factor model with euro area data, and a dynamic factor model with data from the euro plus data from national economies (pseudo-real time data).

This paper investigates the impact of market structure on the joint determination of exchange rate pass-through and currency of invoicing in international trade. A novel feature of the study is the focus on market share of firms on both sides of the market—that is, exporting firms and importing firms.