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2166 Results

June 9, 2010

Crude Oil Futures: A Crystal Ball?

Based on recent research, this article discusses three ways that oil-futures prices can improve our understanding of current conditions and future prospects in the global market for crude oil. First, the response of the oil-futures curve can be used to identify the persistence of oil-price shocks and to obtain an indicator of the rate at which they will diminish. Second, the spread between the current futures price and the spot price of oil can be interpreted as an indicator of the precautionary demand for oil. Third, because oil-futures prices are volatile, forecasts of the future spot price of oil using futures prices should be supplemented with other information to improve their accuracy.

Making It Real: Bringing Research Models into Central Bank Projections

Staff discussion paper 2023-29 Marc-André Gosselin, Sharon Kozicki
Macroeconomic projections and risk analyses play an important role in guiding monetary policy decisions. Models are integral to this process. This paper discusses how the Bank of Canada brings research models and lessons learned from those models into the central bank projection environment.

Market Concentration and Uniform Pricing: Evidence from Bank Mergers

Staff working paper 2021-9 João Granja, Nuno Paixão
We show that US banks price deposits almost uniformly across their branches and that this pricing practice is more important than increases in local market concentration in explaining the deposit rate dynamics following bank mergers.

Fixed-income dealing and central bank interventions

Staff analytical note 2022-9 David Cimon, Adrian Walton
We summarize the theoretical model of central bank asset purchases developed in Cimon and Walton (2022). The model helps us understand how asset purchases ease pressures on investment dealers to restore market conditions in a crisis.

Assessing global potential output growth: April 2026

We present the annual update of the Bank of Canada staff estimates for global potential output growth. These estimates served as key inputs to the analysis supporting the April 2026 Monetary Policy Report.

Estimating Systematic Risk Under Extremely Adverse Market Conditions

Staff working paper 2016-22 Maarten van Oordt, Chen Zhou
This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its asymptotic properties.
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