Search

Content Types

Subjects

Authors

Research Themes

JEL Codes

Sources

Published After

Published Before

2166 Results

May 13, 2014

The Art and Science of Forecasting the Real Price of Oil

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.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C5, C53, E, E3, E32, Q, Q4, Q43

Borrowing Costs for Government of Canada Treasury Bills

Staff analytical note 2019-28 Jabir Sandhu, Adrian Walton, Jessica Lee
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.

Aggregate Fluctuations and the Role of Trade Credit

Staff working paper 2017-37 Lin Shao
In an economy where production takes place in multiple stages and is subject to financial frictions, how firms finance intermediate inputs matters for aggregate outcomes. This paper focuses on trade credit—the lending and borrowing of input goods between firms—and quantifies its aggregate impacts during the Great Recession.

A Look Inside the Box: Combining Aggregate and Marginal Distributions to Identify Joint Distributions

Staff working paper 2018-29 Marie-Hélène Felt
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.

Central Bank Digital Currency and Banking: Macroeconomic Benefits of a Cash-Like Design

Staff working paper 2021-63 Jonathan Chiu, Mohammad Davoodalhosseini
Should a CBDC be more like cash or bank deposits? An interest-bearing, cash-like CBDC not only makes payments more efficient but also increases total demand. This has positive effects on other transactions, inducing more deposit taking and lending and, thus, bank intermediation.
September 15, 2008

The Bank of Canada's Senior Loan Officer Survey

The Bank of Canada maintains regular contact with financial institutions as part of the information-gathering process that feeds into the larger set of information used to arrive at its monetary policy decision. Since 1999, the Bank has been conducting a quarterly survey of the business-lending practices of major Canadian financial institutions. Analysis of the information collected shows that it is correlated with future growth in both credit and business investment. This article focuses on how the survey is conducted and describes the construction of the summary statistics, highlighting the key statistical relationships in the historical survey data.

Saving after Retirement and Preferences for Residual Wealth

Staff working paper 2024-21 Giulio Fella, Martin B. Holm, Thomas Michael Pugh
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.

Markets Look Beyond the Headline

Staff analytical note 2018-37 Bruno Feunou, James Kyeong, Raisa Leiderman
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.

Asset Encumbrance, Bank Funding and Financial Fragility

Staff working paper 2016-16 Kartik Anand, Prasanna Gai, James Chapman, Toni Ahnert
In this piece we show that a limit on the level of asset encumbrance and minimum capital requirements are effective tools for minimizing the incentive for banks to take excessive risk.
Go To Page