Understanding Post-COVID Inflation Dynamics Staff Working Paper 2022-50 Martin Harding, Jesper Lindé, Mathias Trabandt We propose a macroeconomic model with a nonlinear Phillips curve that has a flat slope when inflationary pressures are subdued and steepens when inflationary pressures are elevated. Our model can generate more sizable inflation surges due to cost-push and demand shocks than a standard linearized model when inflation is high. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Central bank research, Coronavirus disease (COVID-19), Economic models, Inflation and prices, Inflation: costs and benefits, Monetary policy, Monetary policy implementation JEL Code(s): E, E3, E30, E31, E32, E37, E4, E44, E5, E52
Uncovering Inflation Expectations and Risk Premiums From Internationally Integrated Financial Markets Staff Working Paper 1999-6 Ben Fung, Scott Mitnick, Eli Remolona Theory and empirical evidence suggest that the term structure of interest rates reflects risk premiums as well as market expectations about future inflation and real interest rates. We propose an approach to extracting such premiums and expectations by exploiting both the comovements among interest rates across the yield curve and between two countries, Canada and […] Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Inflation and prices, Interest rates, International topics JEL Code(s): E, E4, E43, G, G1, G12, G15
Commodity-Linked Bonds: A Potential Means for Less-Developed Countries to Raise Foreign Capital Staff Working Paper 2004-20 Joseph Atta-Mensah The author suggests that commodity-linked bonds could provide a potential means for less-developed countries (LDCs) to raise money on the international capital markets, rather than through standard forms of financing. Content Type(s): Staff research, Staff working papers Research Topic(s): Development economics, Financial markets, International topics JEL Code(s): F, F3, F30, F34, F4, F49, G, G1, G11, G13, O, O1, O16
Bank Screening Heterogeneity Staff Working Paper 2016-56 Thibaut Duprey Production efficiency and financial stability do not necessarily go hand in hand. With heterogeneity in banks’ abilities to screen borrowers, the market for loans becomes segmented and a self-competition mechanism arises. When heterogeneity increases, the intensive and extensive margins have opposite effects. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial stability, Financial system regulation and policies JEL Code(s): G, G1, G14, G2, G21, L, L1, L13
High-Frequency Cross-Sectional Identification of Military News Shocks Staff Working Paper 2025-27 Francesco Amodeo, Edoardo Briganti We identify and quantify fiscal news shocks, compiling events (2001–2023) that altered the expected path of U.S. defense expenditure. For each event, we estimate market-implied shifts in expected spending. A shift-share analysis yields a two-year, metropolitan statistical area–level GDP multiplier of approximately 1 for U.S. military build-ups. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Fiscal policy JEL Code(s): E, E2, E20, E3, E30, E32, E6, E60, E62, E65
Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems Staff Working Paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems. Content Type(s): Staff research, Staff working papers Research Topic(s): Digital currencies and fintech, Financial institutions, Financial services, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): C, C4, C45, C5, C55, D, D8, D83, E, E4, E42
Monetary Policy Transmission to Small Business Loan Performance: Evidence from Loan-Level Data Staff Working Paper 2024-41 Rodrigo Sekkel, Tamon Takamura, Yaz Terajima We analyze the dynamic and heterogeneous responses of small-business loan performance to a monetary-policy shock using loan-level data in Canada. We find evidence of monetary policy transmission through the cash-flow channel and the aggregate demand channel as well as some, though limited, impact of collateral to discipline loan repayment. Content Type(s): Staff research, Staff working papers Research Topic(s): Firm dynamics, Monetary policy transmission JEL Code(s): C, C3, C32, E, E1, E17, E3, E37, E5, E52
February 1, 2012 Excess Collateral in the LVTS: How Much Is Too Much? Financial System Review - December 2003 Kim McPhail, Anastasia Vakos Content Type(s): Publications, Financial System Review articles
Les provinces canadiennes et la convergence : une évaluation empirique Staff Working Paper 1994-10 Mario Lefebvre This paper examines whether the hypothesis of economic convergence holds for the Canadian provinces. Using data on real gross domestic product per capita and on factor productivity from 1966 to 1992, the paper shows, using two different methods, that the convergence hypothesis cannot be rejected. This evidence supports the findings of other authors who have studied convergence among Canadian provinces. Content Type(s): Staff research, Staff working papers Research Topic(s): Recent economic and financial developments
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 Research Topic(s): Econometric and statistical methods, Economic models, International topics