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
August 18, 2011 Mortgage Debt and Procyclicality in the Housing Market Bank of Canada Review - Summer 2011 Ian Christensen This article focuses on the role that loans backed by housing collateral play in amplifying housing booms and, more generally, procyclicality in the housing market. The author uses a model developed to include borrower and lender households, as well as a housing market, to examine the impact that altering the loan-to-value ratio (either permanently or countercyclically) might have on the volatility of house prices and mortgage debt. Content Type(s): Publications, Bank of Canada Review articles
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
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
CBDC and Monetary Policy Staff analytical note 2020-4 Mohammad Davoodalhosseini, Francisco Rivadeneyra, Yu Zhu Improving the conduct of monetary policy is unlikely to be the main motivation for central banks to issue a central bank digital currency (CBDC). While some argue that a CBDC could allow more complex transfer schemes or the ability to break below the zero lower bound, we find these benefits might be small or difficult to realize in practice. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E4, E41, E5, E51, E52 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation, Money and payments, Digital assets and fintech
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
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
January 23, 2004 Bank of Canada Review - Winter 2003-2004 Cover page Brass Cash Register, 1910 The register is part of the National Currency Collection, Bank of Canada. Photographed by Gord Carter, Ottawa. Content Type(s): Publications, Bank of Canada Review
Order Flow Segmentation, Liquidity and Price Discovery: The Role of Latency Delays Staff working paper 2018-16 Michael Brolley, David Cimon Latency delays—known as “speed bumps”—are an intentional slowing of order flow by exchanges. Supporters contend that delays protect market makers from high-frequency arbitrage, while opponents warn that delays promote “quote fading” by market makers. We construct a model of informed trading in a fragmented market, where one market operates a conventional order book and the other imposes a latency delay on market orders. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G14, G18 Research Theme(s): Financial markets and funds management, Market functioning, Market structure
February 17, 2011 Conference Summary: Financial Globalization and Financial Instability Bank of Canada Review - Winter 2010-2011 Scott Hendry The Bank of Canada’s annual conference, held in October 2010, brought together leading researchers from universities and central banks around the world. Content Type(s): Publications, Bank of Canada Review articles