Methodology for Assigning Credit Ratings to Sovereigns Staff discussion paper 2017-7 Philippe Muller, Jérôme Bourque The investment of foreign exchange reserves or other asset portfolios requires an assessment of the credit quality of investment counterparties. Traditionally, foreign exchange reserve and asset managers have relied on credit rating agencies (CRAs) as the main source for credit assessments. Content Type(s): Staff research, Staff discussion papers JEL Code(s): F, F3, F31, G, G2, G24, G28, G3, G32 Research Theme(s): Financial markets and funds management, Funds management, Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Models and tools, Economic models
Vertical Specialization and Gains from Trade Staff working paper 2017-17 Patrick Alexander Multi-stage production is widely recognized as an important feature of the modern global economy. This feature has been incorporated into many state-of-the-art quantitative trade models, and has been shown to deliver significant additional gains from international trade. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F1, F11, F14, F6, F60 Research Theme(s): Models and tools, Economic models, Structural challenges, International trade, finance and competitiveness
Constrained Efficiency with Adverse Selection and Directed Search Staff working paper 2017-15 Mohammad Davoodalhosseini Constrained efficient allocation (CE) is characterized in a model of adverse selection and directed search (Guerrieri, Shimer, and Wright (2010)). CE is defined to be the allocation that maximizes welfare, the ex-ante utility of all agents, subject to the frictions of the environment. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, D83, E, E2, E24, G, G1, J, J3, J31, J6, J64 Research Theme(s): Financial markets and funds management, Market structure, Financial system, Financial system regulation and oversight, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Markov‐Switching Three‐Pass Regression Filter Staff working paper 2017-13 Pierre Guérin, Danilo Leiva-Leon, Massimiliano Marcellino We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C2, C22, C23, C5, C53 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
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. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity
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. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C53, C8, C82, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
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 JEL Code(s): C, C1, C12, C8, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
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 JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Sampling Technical report No. 108 Angelika Welte In 2015, the Bank of Canada undertook the large-scale Retailer Survey on the Cost of Payment Methods. Content Type(s): Staff research, Technical reports JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
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 JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments