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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.

We propose a model to understand low observed migration rates by considering the interaction between location and wealth decisions. We look at different policies and find that temporary moving vouchers only slightly increase welfare, while lower housing regulations can decrease the welfare gap by lowering house prices nationwide.

We analyze the evolution of macroeconomic uncertainty in the United States, based on the forecast errors of consensus survey forecasts of different economic indicators. Comprehensive information contained in the survey forecasts enables us to capture a real-time subjective measure of uncertainty in a simple framework.

We develop a heterogeneous firm macro model with private information and quantify the aggregate relevance of asymmetric information. We find that a spike in private information account for 40% of the decline in aggregate investment during the 2007-2009 financial crisis and made monetary stimulus significantly less effective.

We analyze 40 years’ worth of natural disasters using a local projection framework to assess their impact on provincial labour markets in Canada. We find that disasters decrease hours worked within a week and lower wage growth in the medium run. Our study highlights that disasters affect vulnerable workers through the income channel.

The ongoing process of price discovery in foreign exchange markets provides valuable information to certain market participants. Recent empirical findings suggest that aggregate measures of order flow convey information about the fundamental value of the exchange rate. Using a market microstructure approach, D'Souza reports on a two-year study of completed transactions within the Canadian and Australian exchange rate markets to examine the relationship between exchange rate returns and trades initiated in different locations. Based on the information content of the trades, he finds that geographic location and hours of operation are two of the factors driving informed interdealer trading.

In this study, we enhance Markowitz portfolio selection with graph theory for the analysis of two portfolios composed of either EU or US assets. Using a threshold-based decomposition of their respective covariance matrices, we perturb the level of risk in each portfolio and build the corresponding sets of graphs.

In this paper, the authors assess the relationship between digitalization and labour demand and supply, and how this relationship affects wages and income inequality. We also explore implications of recent digitalization trends for the future of work.

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.