Revisiting the Monetary Sovereignty Rationale for CBDCs Staff discussion paper 2021-17 Skylar Brooks One argument for central bank digital currencies (CBDCs) is that without them, private and foreign digital monies could displace domestic currencies, threatening the central bank’s monetary policy and lender of last resort capabilities. I revisit this monetary sovereignty rationale and offer a wider view—one that considers a broader set of currency functions and captures important cross-country variation. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E4, E41, E42, E5, E52, E58, H, H1, H12, H6, H63 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy framework and transmission, Money and payments, Digital assets and fintech
April 9, 2009 Next Steps for Canadian Monetary Policy Bank of Canada Review - Spring 2009 Robert Amano, Thomas J. Carter, Donald Coletti In 2006, the Bank initiated a research program exploring two alternatives to the current inflation-targeting framework: (i) lowering the inflation target and (ii) shifting to a price-level target. This article discusses progress to date, places the Bank's findings in the context of a broader literature, and identifies avenues for future research. Content Type(s): Publications, Bank of Canada Review articles
October 3, 2017 Seeking Gazelles in Polar Bear Country Remarks Sylvain Leduc Sherbrooke Chamber of Commerce Sherbrooke, Quebec Deputy Governor Sylvain Leduc discusses the decline in firm creation and productivity in the Canadian economy. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Financial system, Financial stability, Monetary policy, Economic models, Economy/Economic growth, Inflation targeting framework
Uncertainty and Monetary Policy Experimentation: Empirical Challenges and Insights from Academic Literature Staff discussion paper 2022-9 Matteo Cacciatore, Dmitry Matveev, Rodrigo Sekkel Central banks face considerable uncertainty when conducting monetary policy. The COVID-19 pandemic brought this issue back to the forefront of policy discussions. We draw from academic literature to review key sources of uncertainty and how they affect the conduct of monetary policy. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E3, E5 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation, Real economy and forecasting
November 14, 2013 Assessing Financial System Vulnerabilities: An Early Warning Approach Bank of Canada Review - Autumn 2013 Gurnain Pasricha, Tom Roberts, Ian Christensen, Brad Howell This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E6, E66, G, G0, G01
February 17, 2011 Bank of Canada Review - Winter 2010-2011 This issue features a summary of the Bank’s annual conference, which this year dealt with financial globalization, and three articles that present research by Bank staff on Canada’s mortgage market, the role of adverse selection in financial crises, and payment networks. Content Type(s): Publications, Bank of Canada Review
June 21, 2006 Using the Contingent Claims Approach to Assess Credit Risk in the Canadian Business Sector Financial System Review - June 2006 Michal Kozak, Meyer Aaron, Céline Gauthier Content Type(s): Publications, Financial System Review articles
Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19 Staff working paper 2021-2 James Chapman, Ajit Desai We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model. 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
A Dynamic Factor Model for Nowcasting Canadian GDP Growth Staff working paper 2017-2 Tony Chernis, Rodrigo Sekkel This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, C38, C5, C53, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting