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
Unintended consequences of liquidity regulation Staff analytical note 2025-28 Omar Abdelrahman, Josef Schroth When a bank holds a lot of safe assets, it is well situated to deal with funding stress. But when all banks hold a lot of safe assets, a pecuniary externality implies that their (wholesale) funding costs increase. This reduces banks’ ability to hold capital buffers and thus, paradoxically, increases the frequency of funding stress. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E4, E44, E6, G, G2, G21, G28 Research Theme(s): Financial system, Financial institutions and intermediation, Financial system regulation and oversight
August 19, 2010 Bank of Canada Review - Summer 2010 Examination of how, when the policy interest rate is at or near zero, different monetary policy frameworks might help to lower the risk and economic cost of such a scenario; review of the findings of recent Bank of Canada research on the relative merits of inflation targeting and price-level targeting (PLT) for a small open economy; examination of monetary policy being used to counteract financial imbalances; conference summary: new frontiers in monetary policy design. Content Type(s): Publications, Bank of Canada Review
August 24, 2010 Re-examining Canada’s Monetary Policy Framework: Recent Research and Outstanding Issues Remarks John Murray Canadian Association for Business Economics Kingston, Ontario I am honoured to address members of the Canadian Association for Business Economics. My remarks today will focus on critical issues that the Bank of Canada has studied over the past four years and how this research will inform our work as we move forward post crisis. Content Type(s): Press, Speeches and appearances, Remarks
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
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
December 11, 2007 The Zero Bound on Nominal Interest Rates: Implications for Monetary Policy Bank of Canada Review - Winter 2007-2008 Claude Lavoie, Stephen Murchison One of the most important factors that must be considered if countries are thinking about lowering the target level of inflation much below 2 per cent is the zero interest bound. Targeting inflation rates that are too low, the authors note, may restrict the ability of monetary policy to respond to economic shocks by limiting the amount by which interest rates can be eased. Content Type(s): Publications, Bank of Canada 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
February 1, 2012 Governance and Financial Fragility Financial System Review - December 2003 Michael Francis Content Type(s): Publications, Financial System Review articles