June 22, 2005 Estimating the Impact of Monetary Policy Surprises on Fixed-Income Markets Bank of Canada Review - Summer 2005 Jason Andreou In the interest of better understanding the impact of the Bank of Canada's policy actions on bond and bill yields, Andreou assesses the impact of policy-rate announcements on short and long bonds over the period 1996 to 2004. To aid the analysis, policy actions are decomposed into expected and surprise components. He also examines whether the introduction of fixed announcement dates (FADs) has affected these results, including markets' perceptions. The main finding is that unexpected policy actions by the Bank have a significant effect on market rates at the shorter end of the yield curve, with the effect dissipating as the maturity increases. A second finding, that the impact on longer-term interest rates of a surprise action by the Bank has diminished since the introduction of the FADs, suggests that the Bank's long-term policy goals are well understood and credible. Content Type(s): Publications, Bank of Canada Review articles
Instant Payments, Fraud, and Optimal Consumer Protection Staff working paper 2026-41 Yuteng Cheng, Charles M. Kahn, Francisco Rivadeneyra This paper studies how fraud prevention should be organized in instant payment systems. It compares centralized and decentralized governance, showing how access pricing, payment eligibility, prevention incentives, and liability allocation jointly determine fraud risk and the set of payments admitted to the system. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D86, E, E4, E42, G, G2, G28, L, L5, L51 Research Theme(s): Models and tools, Economic models, Money and payments, Payment and financial market infrastructures, Retail payments
April 22, 2004 Research in Financial Services and Public Policy - Filling the Gaps Remarks David Dodge Conference on Financial Services and Public Policy Schulich School of Business at York University Toronto, Ontario For five years, the research program here at Schulich has helped to support and nurture a Canadian academic community focused on financial services. In doing so, the program has encouraged researchers to fill the gaps in our knowledge and help policy-makers and regulators to do a better job. After five years, it's useful to think back and recall the motivations for establishing this program in the first place. Content Type(s): Press, Speeches and appearances, Remarks
Communicating Uncertainty in Monetary Policy Staff discussion paper 2017-14 Sharon Kozicki, Jill Vardy While central banks cannot provide complete foresight with respect to their future policy actions, it is in the interests of both central banks and market participants that central banks be transparent about their reaction functions and how they may evolve in response to economic developments, shocks, and risks to their outlooks. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E5, E52, E58, E6, E61, E65 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Which Model to Forecast the Target Rate? Staff working paper 2017-60 Bruno Feunou, Jean-Sébastien Fontaine, Jianjian Jin Specifications of the Federal Reserve target rate that have more realistic features mitigate in-sample over-fitting and are favored in the data. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
December 9, 2010 Central Counterparties and Systemic Risk Financial System Review - December 2010 Eric Tuer, Nicholas Labelle, Nikil Chande Content Type(s): Publications, Financial System Review articles
Potential output in Canada: 2026 assessment Staff analytical paper 2026-19 Alex Chernoff, Christopher Hajzler, Stéphanie Houle, Gabriella Ruggero, Olena Senyuta, Karanbir Sohal, Walter Steingress, Temel Taskin Growth in potential output is expected to drop from 2.3% in 2025 to 1.2% in 2026 given slowing population growth, US tariffs and trade policy uncertainty. It is then estimated to pick up to an average of 1.5% over 2027–29 as strengthening business and government investment supports trend labour productivity (TLP). Gradual adoption of artificial intelligence is also expected to lift TLP growth over the projection horizon. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E2, E3, E4, E5 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
October 6, 2016 Economic Trends and Monetary Policy Remarks Carolyn A. Wilkins Université du Québec à Trois-Rivières Trois-Rivières, Quebec Senior Deputy Governor Carolyn Wilkins talks about the major trends of the Canadian economy and how they affect monetary policy. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Monetary policy, Economic models, Economy/Economic growth, Inflation, Inflation targeting framework
The Power of Helicopter Money Revisited: A New Keynesian Perspective Staff discussion paper 2020-1 Thomas J. Carter, Rhys R. Mendes We analyze money financing of fiscal transfers (helicopter money) in two simple New Keynesian models: a “textbook” model in which all money is non-interest-bearing (e.g., all money is currency), and a more realistic model with interest-bearing reserves. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E1, E12, E4, E41, E43, E5, E51, E52, E58, E6, E61, E63 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Small‐Sample Tests for Stock Return Predictability with Possibly Non‐Stationary Regressors and GARCH‐Type Effects Staff working paper 2017-10 Sermin Gungor, Richard Luger We develop a simulation-based procedure to test for stock return predictability with multiple regressors. The process governing the regressors is left completely free and the test procedure remains valid in small samples even in the presence of non-normalities and GARCH-type effects in the stock returns. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C12, C3, C32, G, G1, G14 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods