Search

Content Types

Subjects

Authors

Research Themes

JEL Codes

Sources

Published After

Published Before

2166 Results

June 22, 2005

Estimating the Impact of Monetary Policy Surprises on Fixed-Income Markets

In the interest of better understanding the impact of the Bank of Canada's policy actions on bond and bill yields, Andreou assesses the impact of policy-rate announcements on short and long bonds over the period 1996 to 2004. To aid the analysis, policy actions are decomposed into expected and surprise components. He also examines whether the introduction of fixed announcement dates (FADs) has affected these results, including markets' perceptions. The main finding is that unexpected policy actions by the Bank have a significant effect on market rates at the shorter end of the yield curve, with the effect dissipating as the maturity increases. A second finding, that the impact on longer-term interest rates of a surprise action by the Bank has diminished since the introduction of the FADs, suggests that the Bank's long-term policy goals are well understood and credible.

How Oil Supply Shocks Affect the Global Economy: Evidence from Local Projections

Staff discussion paper 2019-6 Olivier Gervais
We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature.

Changes in Monetary Regimes and the Identification of Monetary Policy Shocks: Narrative Evidence from Canada

Staff working paper 2017-39 Julien Champagne, Rodrigo Sekkel
We use narrative evidence along with a novel database of real-time data and forecasts from the Bank of Canada's staff economic projections from 1974 to 2015 to construct a new measure of monetary policy shocks and estimate the effects of monetary policy in Canada.

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.
November 11, 2008

Merchants' Costs of Accepting Means of Payment: Is Cash the Least Costly?

In a competitive sales environment, merchants are compelled to offer consumers the option of paying for goods and services using a variety of payment methods, including cash, debit card, or credit card. Each method entails different costs and benefits to merchants. To better understand the costs of accepting retail payments, the Bank of Canada surveyed over 500 Canadian merchants and found that most consider cash the least costly. This article investigated this perception by calculating the variable costs per transaction of accepting different means of payment. The findings are that costs for each payment method vary by merchant and transaction value, with debit cards the least costly payment for a broad cross-section of merchants.

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.

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.
Go To Page