Technical Reports

• Risk Amplification Macro Model (RAMM)

  Technical Report No. 123 Kerem Tuzcuoglu

  The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios.

  Content Type(s): Staff research, Technical reports Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Financial stability, Monetary policy transmission JEL Code(s): C, C5, C51, E, E3, E37, E4, E44, F, F4, F44

• Forecasting Banks’ Corporate Loan Losses Under Stress: A New Corporate Default Model

  Technical Report No. 122 Gabriel Bruneau, Thibaut Duprey, Ruben Hipp

  We present a new corporate default model, one of the building blocks of the Bank of Canada’s bank stress-testing infrastructure. The model is used to forecast corporate loan losses of the Canadian banking sector under stress.

  Content Type(s): Staff research, Technical reports Topic(s): Economic models, Financial institutions, Financial stability, Financial system regulation and policies JEL Code(s): C, C2, C22, C5, C52, C53, G, G1, G17, G2, G21, G28

• Historical Data on Repurchase Agreements from the Canadian Depository for Securities

  Technical Report No. 121 Maxim Ralchenko, Adrian Walton

  We develop an algorithm that extracts information about sale and repurchase agreements (repos) from disaggregated settlement data in order to generate a new historical dataset for research.

  Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C5, C55, C8, C81, G, G1, G10

• Assessing Climate-Related Financial Risk: Guide to Implementation of Methods

  Technical Report No. 120 Hossein Hosseini Jebeli, Craig Johnston, Craig Logan, Miguel Molico, Xiangjin Shen, Marie-Christine Tremblay

  A pilot project on climate transition scenarios by the Bank of Canada and the Office of the Superintendent of Financial Institutions assessed climate-related credit and market risks. This report describes the project’s methodologies and provides guidance on implementing them.

  Content Type(s): Staff research, Technical reports Topic(s): Climate change, Credit and credit aggregates, Econometric and statistical methods, Financial stability JEL Code(s): C, C5, C53, C8, C83, G, G1, G3, G32

• ToTEM III: The Bank of Canada’s Main DSGE Model for Projection and Policy Analysis

  Technical Report No. 119 Paul Corrigan, Hélène Desgagnés, José Dorich, Vadym Lepetyuk, Wataru Miyamoto, Yang Zhang

  ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution.

  Content Type(s): Staff research, Technical reports Topic(s): Business fluctuations and cycles, Economic models, Housing, Interest rates, Monetary policy JEL Code(s): E, E1, E17, E2, E20, E3, E30, E4, E40, E5, E50, E6, E62, E65, F, F4, F40, F41, G, G5, G51

• Sample Calibration of the Online CFM Survey

  Technical Report No. 118 Marie-Hélène Felt, David Laferrière

  The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.

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

• BoC–BoE Sovereign Default Database: Methodology, Assumptions and Sources

  Technical Report No. 117 David Beers, Elliot Jones, John Walsh

  Until recently, few efforts have been made to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada (BoC) developed a comprehensive database of sovereign defaults that is posted on its website and updated in partnership with the Bank of England (BoE).

  Content Type(s): Staff research, Technical reports Topic(s): Debt management, Development economics, Financial institutions, International financial markets JEL Code(s): F, F3, F34, G, G1, G10, G14, G15

• IMPACT: The Bank of Canada’s International Model for Projecting Activity

  Technical Report No. 116 Patrick Blagrave, Claudia Godbout, Justin-Damien Guénette, René Lalonde, Nikita Perevalov

  We present the structure and features of the International Model for Projecting Activity (IMPACT), a global semi-structural model used to conduct projections and policy analysis at the Bank of Canada. Major blocks of the model are developed based on the rational error correction framework of Kozicki and Tinsley (1999), which allows the model to strike a balance between theoretical structure and empirical performance.

  Content Type(s): Staff research, Technical reports Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Economic models, International topics JEL Code(s): C, C6, C68, E, E2, E27, E3, E37, F, F0, F01, F3, F32, F4, F47

• Bond Funds and Fixed-Income Market Liquidity: A Stress-Testing Approach

  Technical Report No. 115 Rohan Arora, Guillaume Bédard-Pagé, Guillaume Ouellet Leblanc, Ryan Shotlander

  This report provides a detailed technical description of a stress test model for investment funds called Ceto.

  Content Type(s): Staff research, Technical reports Topic(s): Economic models, Financial institutions, Financial markets, Financial stability JEL Code(s): G, G1, G12, G14, G2, G20, G23

• 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.

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