Dating Systemic Financial Stress Episodes in the EU Countries Staff working paper 2016-11 Benjamin Klaus, Tuomas Peltonen, Thibaut Duprey This paper introduces a new methodology to date systemic financial stress events in a transparent, objective and reproducible way. The financial cycle is captured by a monthly country-specific financial stress index. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C54, G, G0, G01, G1, G15 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Challenges in Implementing Worst-Case Analysis Staff working paper 2018-47 Jon Danielsson, Lerby Ergun, Casper G. de Vries Worst-case analysis is used among financial regulators in the wake of the recent financial crisis to gauge the tail risk. We provide insight into worst-case analysis and provide guidance on how to estimate it. We derive the bias for the non-parametric heavy-tailed order statistics and contrast it with the semi-parametric extreme value theory (EVT) approach. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C01, C1, C14, C5, C58 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
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
Potential netting benefits from expanded central clearing in Canada’s fixed-income market Staff analytical note 2022-8 Jessie Ziqing Chen, Johannes Chen, Shamarthi Ghosh, Manu Pandey, Adrian Walton We assess whether more central clearing would enhance the resilience of Canadian fixed-income markets. Our analysis estimates the potential benefits of balance sheet netting under scenarios where central clearing is expanded to new participants. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D4, G, G1, G12, G2, G21, G29 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Money and payments, Payment and financial market infrastructures
Untapped Potential: Mobile Device Ownership and Mobile Payments in Canada Staff working paper 2024-25 Marie-Hélène Felt, Angelika Welte, Katrina Talavera We present a two-stage model of mobile phone and mobile payment usage that controls for selectivity. This reveals unobserved factors that work against having a mobile phone and toward mobile paying. Therefore, people who are unable to acquire or choose not to own a mobile device might have unmet payment needs. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C39, D, D1, D12, E, E4, E42 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech, Retail payments
Fintech: Is This Time Different? A Framework for Assessing Risks and Opportunities for Central Banks Staff discussion paper 2017-10 Meyer Aaron, Francisco Rivadeneyra, Samantha Sohal We investigate the risks and opportunities to the mandates of central banks arising from fintech developments. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E4, E42, G, G1, G2, L, L1 Research Theme(s): Financial system, Financial institutions and intermediation, Financial system regulation and oversight, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Anchored Inflation Expectations: What Recent Data Reveal Staff working paper 2025-5 Olena Kostyshyna, Isabelle Salle, Hung Truong We analyze micro-level data from the Canadian Survey of Consumer Expectations through the lens of a heterogeneous-expectations model to study how inflation expectations form over the business cycle. We provide new insights into how households form expectations, documenting that forecasting behaviours, attention and noise in beliefs vary across socio-demographic groups and correlate with views about monetary policy. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D84, E, E3, E31, E7, E70 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Real economy and forecasting
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
How Do Interest Rates Spur the Housing Market: Exploring Nonlinear Effects Staff analytical paper 2026-35 Benjamin Straus, Stéphane Surprenant, Kerem Tuzcuoglu In this note we examine how monetary policy affects housing demand, supply and prices in Canada, and whether these effects vary with labour market conditions Content Type(s): Staff research, Staff analytical paper JEL Code(s): C, C3, C32, E, E5, E52, R, R3, R31 Research Theme(s): Monetary policy, Monetary policy framework and transmission
Market structure of cryptoasset exchanges: Introduction, challenges and emerging trends Staff analytical note 2024-2 Vladimir Skavysh, Jacob Sharples, Sofia Priazhkina, Salman H. Hasham This paper provides an overview of cryptoasset exchanges. We contrast their design with exchanges in traditional financial markets and discuss emerging regulatory trends and innovations aimed at solving the problems cryptoasset exchanges face. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G15, L, L1 Research Theme(s): Financial markets and funds management, Market structure, Money and payments, Digital assets and fintech