June 23, 2004 The Organizational Structure of Financial Market Regulation: Highlights from the Literature Financial System Review - June 2004 Christine Fay, Nicolas Parent Content Type(s): Publications, Financial System Review articles
Conduct of Monetary Policy under Housing Market Imbalances Staff analytical paper 2026-53 Amina Enkhbold, Serdar Kabaca Canadian housing imbalances have elevated shelter inflation as a driver of CPI, fueled by high house prices, mortgage costs, rents, supply constraints, and leverage. This note uses a model with housing supply and extrapolative expectations to assess whether monetary policy should incorporate or look through shelter inflation under demand and supply shocks. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E5, E52, G, G2, G21, R, R2, R21, R3, R31 Research Theme(s): Financial system, Household and business credit, Monetary policy, Monetary policy framework and transmission
November 11, 2008 The Market Impact of Forward-Looking Policy Statements: Transparency vs. Predictability Bank of Canada Review - Winter 2008-2009 Christine Fay, Toni Gravelle Central banks continuously strive to improve how they communicate to financial markets and the public in order to increase transparency. For this reason, many central banks have begun to include guidance on the policy rate in the form of forward-looking statements in their communications. This article examines the debate over the usefulness of providing such statements from both theoretical and empirical standpoints. The evidence presented here suggests that the use of forward-looking statements in Bank of Canada communications has made the Bank more predictable, but not necessarily more transparent. Content Type(s): Publications, Bank of Canada Review articles
Are Temporary Oil Supply Shocks Real? Staff working paper 2022-52 Johan Brannlund, Geoffrey R. Dunbar, Reinhard Ellwanger Hurricanes disrupt oil production in the Gulf of Mexico because producers shut in oil platforms to safeguard lives and prevent damage. We examine the effects of these temporary oil supply shocks on real economic activity in the United States. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E31, E32, Q, Q3, Q31, Q4, Q41, Q43 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
October 20, 2006 MUSE: The Bank of Canada's New Projection Model of the U.S. Economy Bank of Canada Review - Autumn 2006 Marc-André Gosselin, René Lalonde, Nicolas Parent Staff projections provided for the Bank of Canada's monetary policy decision process take into account the integration of Canada's very open economy within the global economy, as well as its close real and financial linkages with the United States. To provide inputs for this projection, the Bank has developed several models, including MUSE, NEUQ (the New European Quarterly Model), and BoC-GEM (Bank of Canada Global Economy Model), to analyze and forecast economic developments in the rest of the world. The authors focus on MUSE, the model currently used to describe interaction among the principal U.S. economic variables, including gross domestic product, inflation, interest rates, and the exchange rate. Brief descriptions are also provided of NEUQ and BoC-GEM. Content Type(s): Publications, Bank of Canada Review articles
Interbank Asset-Liability Networks with Fire Sale Management Staff working paper 2020-41 Zachary Feinstein, Grzegorz Halaj Raising liquidity when funding is stressed creates pressure on the financial market. Liquidating large quantities of assets depresses their prices and may amplify funding shocks. How do banks weathering a funding crisis contribute to contagion risk? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C62, C63, C7, C72, G, G0, G01, G1, G11 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
The MacroFinancial Risk Assessment Framework (MFRAF), Version 2.0 Technical report No. 111 Jose Fique This report provides a detailed technical description of the updated MacroFinancial Risk Assessment Framework (MFRAF), which replaces the version described in Gauthier, Souissi and Liu (2014) as the Bank of Canada’s stress-testing model for banks with a focus on domestic systemically important banks (D-SIBs). Content Type(s): Staff research, Technical reports JEL Code(s): C, C7, C72, E, E5, E58, G, G0, G01, G2, G21, G28 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Financial system regulation and oversight
Gazing at r-star: A Hysteresis Perspective Staff working paper 2023-5 Paul Beaudry, Katya Kartashova, Césaire Meh Many explanations for the decline in real interest rates over the last 30 years point to the role that population aging or rising income inequality plays in increasing the long-run aggregate demand for assets. Notwithstanding the importance of such factors, the starting point of this paper is to show that the major change driving household asset demand over this period is instead an increased desire—for a given age and income level—to hold assets. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E31, E4, E43, E5, E52, E58, E6, E62, G, G5, G51, H, H6 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
July 21, 2010 Why Monetary Policy Matters: A Canadian Perspective This paper provides a non-technical introduction to monetary policy - what it is, how it works, and why it matters. It discusses inflation volatility and why this is damaging to the economy, as well as why increased stability of output growth is desirable. Content Type(s): Publications, Books and monographs
Non-competing Data Intermediaries Staff working paper 2020-28 Shota Ichihashi I study a model of competing data intermediaries (e.g., online platforms and data brokers) that collect personal data from consumers and sell it to downstream firms. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D4, D42, D43, D8, D80, L, L1, L12 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Economic models, Money and payments, Digital assets and fintech