On the Fragility of DeFi Lending Staff working paper 2023-14 Jonathan Chiu, Emre Ozdenoren, Kathy Yuan, Shengxing Zhang We develop a dynamic model to capture key features of decentralized finance lending. We identify a price-liquidity feedback: the market outcome in any given period depends on agents' expectations about lending activities in future periods, with higher future price expectations leading to more lending and higher prices in that period. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G0, G01, G1, G10 Research Theme(s): Financial system, Financial stability and systemic risk, Money and payments, Digital assets and fintech
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 JEL Code(s): G, G1, G14, G2, G21, L, L1, L13 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Household and business credit
Production Networks and the Propagation of Commodity Price Shocks Staff working paper 2020-44 Shutao Cao, Wei Dong We examine the macro implications of commodity price shocks in a model with multiple production sectors that are interconnected within a commodity-exporting small open economy. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D5, D57, F, F4, F41 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting, Structural challenges, International trade, finance and competitiveness
August 18, 2010 Strengthening International Capital and Liquidity Standards: A Macroeconomic Impact Assessment for Canada G-20 leaders have agreed on comprehensive financial sector reforms to reduce the risk of future crises and to strengthen banking systems. Raising the amount and quality of capital and liquidity that financial institutions must carry is a central component of the reforms. The G-20 is developing a set of proposals for agreement by leaders at […]
Business Closures and (Re)Openings in Real Time Using Google Places Staff working paper 2022-1 Thibaut Duprey, Daniel E. Rigobon, Philip Schnattinger, Artur Kotlicki, Soheil Baharian, T. R. Hurd The COVID-19 pandemic highlighted the need for policy-makers to closely monitor disruptions to the retail and food business sectors. We present a new method to measure business opening and closing rates using real-time data from Google Places, the dataset behind the Google Maps service. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C55, C8, C81, D, D2, D22, E, E3, E32 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
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 JEL Code(s): E, E2, E20, E3, E30, E32, E6, E60, E62, E65 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
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
Measuring Limits of Arbitrage in Fixed-Income Markets Staff working paper 2017-44 Jean-Sébastien Fontaine, Guillaume Nolin We use relative value to measure limits to arbitrage in fixed-income markets. Relative value captures apparent deviations from no-arbitrage relationships. It is simple, intuitive and can be computed model-free for any bond. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G12 Research Theme(s): Financial markets and funds management, International markets and currencies, Market functioning, Market structure
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 JEL Code(s): C, C4, C45, C5, C55, D, D8, D83, E, E4, E42 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
March 28, 2005 The Thiessen Lectures Lectures delivered by Gordon G. Thiessen, Governor of the Bank of Canada 1994 to 2001 Content Type(s): Publications, Books and monographs