Technical reports

Technical reports provide detailed descriptions of staff research project methodologies and model development.

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91 result(s)

The Framework for Risk Identification and Assessment

Technical Report No. 113 Cameron MacDonald, Virginie Traclet
Risk assessment models are an important component of the Bank’s analytical tool kit for assessing the resilience of the financial system. We describe the Framework for Risk Identification and Assessment (FRIDA), a suite of models developed at the Bank of Canada to quantify the impact of financial stability risks to the broader economy and a range of financial system participants (households, businesses and banks).
Content Type(s): Staff research, Technical reports Topic(s): Economic models, Financial institutions, Financial stability, Housing JEL Code(s): C, C3, C5, C6, C7, D, D1, E, E0, E00, E2, E27, E3, E37, E4, E47, G, G0, G2, G21

The MacroFinancial Risk Assessment Framework (MFRAF), Version 2.0

Technical Report No. 111 Jose Fique
This report provides a detailed technical description of the updated MacroFinancial Risk Assessment Framework (MFRAF), which replaces the version described in Gauthier, Souissi and Liu (2014) as the Bank of Canada’s stress-testing model for banks with a focus on domestic systemically important banks (D-SIBs).
Content Type(s): Staff research, Technical reports Topic(s): Financial stability, Financial system regulation and policies JEL Code(s): C, C7, C72, E, E5, E58, G, G0, G01, G2, G21, G28

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.
Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C12, C8, C83

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.
Content Type(s): Staff research, Technical reports Topic(s): Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C8, C81, C83

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.
Content Type(s): Staff research, Technical reports Topic(s): Central bank research JEL Code(s): C, C8, C81, C83

Household Risk Assessment Model

Technical Report No. 106 Brian Peterson, Tom Roberts
Household debt can be an important source of vulnerability to the financial system. This technical report describes the Household Risk Assessment Model (HRAM) that has been developed at the Bank of Canada to stress test household balance sheets at the individual level.
Content Type(s): Staff research, Technical reports Topic(s): Financial stability, Housing, Sectoral balance sheet JEL Code(s): C, C0, C6, C63, C65, D, D0, D1, D14

Variance Estimation for Survey-Weighted Data Using Bootstrap Resampling Methods: 2013 Methods-of-Payment Survey Questionnaire

Technical Report No. 104 Heng Chen, Rallye Shen
Sampling units for the 2013 Methods-of-Payment Survey were selected through an approximate stratified random sampling design. To compensate for non-response and non-coverage, the observations are weighted through a raking procedure.
Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods JEL Code(s): C, C8, C83
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