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2166 Results

A Dynamic Factor Model for Commodity Prices

Staff analytical note 2017-12 Doga Bilgin, Reinhard Ellwanger
In this note, we present the Commodities Factor Model (CFM), a dynamic factor model for a large cross-section of energy and non-energy commodity prices. The model decomposes price changes in commodities into a common “global” component, a “block” component confined to subgroups of economically related commodities and an idiosyncratic price shock component.

What Fed Funds Futures Tell Us About Monetary Policy Uncertainty

Staff working paper 2016-61 Jean-Sébastien Fontaine
The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a “path” factor signaling information about future policy actions, which is filtered from federal funds futures data.
June 22, 2011

Financial System Review - June 2011

Financial System Review - June 2011
In this issue of the Financial System Review, the Bank of Canada’s Governing Council judges that, although the Canadian finan­cial system is currently on a sound footing, risks to its stability remain elevated and have edged higher since December 2010.
June 4, 2020

Economic progress report: keeping markets working

Remarks (delivered virtually) Toni Gravelle Greater Sudbury Chamber of Commerce Sudbury, Ontario
Deputy Governor Toni Gravelle discusses the Bank’s latest interest rate announcement and explains how efforts to keep financial markets functioning through the COVID-19 crisis will lay a solid foundation for economic recovery

Communicating Uncertainty in Monetary Policy

Staff discussion paper 2017-14 Sharon Kozicki, Jill Vardy
While central banks cannot provide complete foresight with respect to their future policy actions, it is in the interests of both central banks and market participants that central banks be transparent about their reaction functions and how they may evolve in response to economic developments, shocks, and risks to their outlooks.

2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation

Technical report No. 114 Heng Chen, Marie-Hélène Felt, Christopher Henry
This technical report describes sampling, weighting and variance estimation for the Bank of Canada’s 2017 Methods-of-Payment Survey. Under quota sampling, a raking ratio method is implemented to generate weights with both post-stratification and nonparametric nonresponse weight adjustments.
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