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1512 result(s)

Assessing Global Potential Output Growth

This note estimates potential output growth for the global economy through 2019. While there is considerable uncertainty surrounding our estimates, overall we expect global potential output growth to rise modestly, from 3.1 per cent in 2016 to 3.4 per cent in 2019.

Anticipated Technology Shocks: A Re‐Evaluation Using Cointegrated Technologies

Staff working paper 2017-11 Joel Wagner
Two approaches have been taken in the literature to evaluate the relative importance of news shocks as a source of business cycle volatility. The first is an empirical approach that performs a structural vector autoregression to assess the relative importance of news shocks, while the second is a structural-model-based approach.

Assessing the Business Outlook Survey Indicator Using Real-Time Data

Staff discussion paper 2017-5 Lise Pichette, Marie-Noëlle Robitaille
Every quarter, the Bank of Canada conducts quarterly consultations with businesses across Canada, referred to as the Business Outlook Survey (BOS). A principal-component analysis conducted by Pichette and Rennison (2011) led to the development of the BOS indicator, which summarizes survey results and is used by the Bank as a gauge of overall business sentiment.

What Explains the Recent Increase in Canadian Corporate Bond Spreads

Staff analytical note 2017-2 Maxime Leboeuf, James Pinnington
The spread between the yield of a corporate bond and the yield of a similar Government of Canada bond reflects compensation for possible default by the issuing firm and compensation for additional risks beyond default.

The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Estimation of the Total Private Cost for Large Businesses

Technical report No. 110 Valéry Dongmo Jiongo
The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods faced low response rates and outliers in sample data for two of its retailer strata: chains and large independent businesses. This technical report investigates whether it is appropriate to combine these two strata to produce more accurate estimates of the total private cost to large businesses of the main payment methods.

The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Calibration for Single-Location Retailers

Technical report No. 109 Heng Chen, Rallye Shen
Calibrated weights are created to (a) reduce the nonresponse bias; (b) reduce the coverage error; and (c) make the weighted estimates from the sample consistent with the target population in terms of certain key variables.

The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Nonresponse

Technical report No. 107 Stan Hatko
Nonresponse is a considerable challenge in the Retailer Survey on the Cost of Payment Methods conducted by the Bank of Canada in 2015. There are two types of nonresponse in this survey: unit nonresponse, in which a business does not reply to the entire survey, and item nonresponse, in which a business does not respond to particular questions within the survey.

The Costs of Point-of-Sale Payments in Canada

Using data from our 2014 cost-of-payments survey, we calculate resource costs for cash, debit cards and credit cards. For each payment method, we examine the total cost incurred by consumers, retailers, financial institutions and infrastructures, the Royal Canadian Mint and the Bank of Canada.
Content Type(s): Staff research, Staff discussion papers JEL Code(s): D, D1, D12, D2, D23, D24, E, E4, E41, E42, G, G2, G21, L, L2 Research Theme(s): Money and payments, Cash and bank notes, Retail payments

Small‐Sample Tests for Stock Return Predictability with Possibly Non‐Stationary Regressors and GARCH‐Type Effects

Staff working paper 2017-10 Sermin Gungor, Richard Luger
We develop a simulation-based procedure to test for stock return predictability with multiple regressors. The process governing the regressors is left completely free and the test procedure remains valid in small samples even in the presence of non-normalities and GARCH-type effects in the stock returns.
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