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This paper proposes a method for estimating the joint distribution of two or more variables when only their marginal distributions and the distribution of their aggregates are observed. Nonparametric identification is achieved by modelling dependence using a latent common-factor structure.

For five years, the research program here at Schulich has helped to support and nurture a Canadian academic community focused on financial services. In doing so, the program has encouraged researchers to fill the gaps in our knowledge and help policy-makers and regulators to do a better job. After five years, it's useful to think back and recall the motivations for establishing this program in the first place.

Many reports and analyses interpret the release of new economic data based on the headline surprise—for instance, total inflation, real GDP growth and the unemployment rate. However, we find that headline news alone cannot adequately explain the responses of market prices to new information. Rather, market prices react more strongly, on average, to non-headline news such as the composition of GDP growth, quality of jobs created and revisions to past data. Thus, tracking the impact of non-headline information released on the news day is crucial in analyzing how markets interpret and react to new economic data.

The cost of borrowing Government of Canada treasury bills (t-bills) in the repurchase (repo) market is mainly explained by the relationship between the parties involved. Some pairs of parties conduct most of their repos for t-bills rather than bonds, and at relatively high borrowing costs. We speculate that these pairs have formed a mutually beneficial service relationship in which one party consistently receives t-bills, while the other receives cash at a relatively cheap rate.

We analyze money financing of fiscal transfers (helicopter money) in two simple New Keynesian models: a “textbook” model in which all money is non-interest-bearing (e.g., all money is currency), and a more realistic model with interest-bearing reserves.

We study how input-output networks affect the speed of technology adoption. In particular, we model the decision to adopt the programming language Python 3 by software packages. Python 3 provides advanced features but is not backward compatible with Python 2, which implies it comes with adoption costs.

Does consumption smoothing fundamentally decrease during macroeconomic disasters? This paper uses a large historical dataset (1870–2016) for 16 industrial economies to show that during macroeconomic disasters (e.g., wars, pandemics, depressions) aggregate consumption and income are significantly less decoupled than during normal times.

We estimate a model of households in Norway with bequest motives, health-dependent utility, and uncertain longevity and health. Our estimates imply strong bequest motives for households both with and without offspring. We interpret this as suggestive evidence that utility from residual wealth represents forces beyond an altruistic bequest motive.

Forecasts of the price of crude oil play a significant role in the conduct of monetary policy, especially for commodity producers such as Canada. This article presents a range of recently developed forecasting models that, when pooled together, can generate, on average, more accurate forecasts of the price of oil than the oil futures curve. It also illustrates how policy-makers can evaluate the risks associated with the baseline oil price forecast and how they can determine the causes of past oil price fluctuations.

The physical network of bank branches is important in how consumers manage their cash holdings. This paper estimates how consumer withdrawal behaviour responds to the distance they must travel to their branch.