Macroeconomic Predictions Using Payments Data and Machine Learning Staff working paper 2022-10 James Chapman, Ajit Desai We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Money and payments, Retail payments
December 23, 2003 Financial System Review - December 2003 This section of the Financial System Review examines the recent performance of the Canadian financial system and the factors, both domestic and international, that are influencing it. Content Type(s): Publications, Financial Stability Report
October 26, 2018 Staff economic projections These forecasts are provided to Governing Council in preparation for monetary policy decisions. They are released once a year with a five-year lag.
Lending Standards, Productivity and Credit Crunches Staff working paper 2019-25 Jonathan Swarbrick We propose a macroeconomic model in which adverse selection in investment drives the amplification of macroeconomic fluctuations, in line with prominent roles played by the credit crunch and collapse of the asset-backed security market in the financial crisis. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E22, E3, E32, E4, E44, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
August 4, 2010 Fellowship Award Annual research grants and expense allowances for a term of up to five years.
Machine learning for economics research: when, what and how Staff analytical note 2023-16 Ajit Desai This article reviews selected papers that use machine learning for economics research and policy analysis. Our review highlights when machine learning is used in economics, the commonly preferred models and how those models are used. Content Type(s): Staff research, Staff analytical notes JEL Code(s): A, A1, A10, B, B2, B23, C, C4, C45, C5, C55 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity
May 5, 2015 Liquid Markets for a Solid Economy Remarks Carolyn A. Wilkins Chambre de commerce du Montréal métropolitain Montréal, Quebec Senior Deputy Governor Wilkins discusses funding and market liquidity, and announces consultations on the Bank’s market operations and emergency lending frameworks. Content Type(s): Press, Speeches and appearances, Remarks
November 14, 2013 Bank of Canada Review - Autumn 2013 The three articles in this issue provide an overview of the monetary policy decision-making process at the Bank of Canada, a discussion of Bank research on the assessment of vulnerabilities in the financial system and a description of recent fragmentation in Canadian equity markets. Content Type(s): Publications, Bank of Canada Review
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
June 21, 2009 Procyclicality and Bank Capital Financial System Review - June 2009 Neville Arjani Content Type(s): Publications, Financial System Review articles