Managing GDP Tail Risk Staff working paper 2020-3 Thibaut Duprey, Alexander Ueberfeldt Models for macroeconomic forecasts do not usually take into account the risk of a crisis—that is, a sudden large decline in gross domestic product (GDP). However, policy-makers worry about such GDP tail risk because of its large social and economic costs. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, E, E4, E44, E5, E52, E58, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Allocative Efficiency and the Productivity Slowdown Staff working paper 2021-1 Lin Shao, Rongsheng Tang In our analysis of the US productivity slowdown in the 1970s and 2000s, we find that a significant portion of this deceleration can be attributed to a lack of improvement in allocative efficiency across sectors. Our analysis further identifies increased sector-level volatility as a major contributor to this lack of improvement in allocative efficiency. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E23, O, O4, O47 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity
December 21, 2007 Financial System Review - December 2007 The financial system makes an important contribution to the welfare of all Canadians. The ability of households and firms to confidently hold and transfer financial assets is one of the fundamental building blocks of the Canadian economy. Content Type(s): Publications, Financial Stability Report
The New Benchmark for Forecasts of the Real Price of Crude Oil Staff working paper 2020-39 Amor Aniss Benmoussa, Reinhard Ellwanger, Stephen Snudden How can we assess the quality of a forecast? We propose a new benchmark to evaluate forecasts of temporally aggregated series and show that the real price of oil is more difficult to predict than we thought. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C5, C53, Q, Q4, Q47 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Survey Evidence on Firm AI Adoption and its Implications Staff analytical paper 2026-22 Chanya Chawla, Crystal Arnburg This paper analyzes AI adoption among Canadian firms using December 2025 Business Leaders’ Pulse data. It finds that while personal use is widespread, operational adoption remains limited. Firms expect modest positive impacts on capital spending and small net negative effects on employment over the next three years. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E0, E2, E22, E24, O, O3, O33 Research Theme(s): Structural challenges, Digitalization and productivity
June 23, 2005 On the Evolution of the Financial Safety Net Financial System Review - June 2005 Walter Engert Content Type(s): Publications, Financial System Review articles
The aggregate and heterogeneous effects of responding to shelter inflation Staff analytical paper 2026-5 Michael Irwin, Matías Vieyra This note examines how monetary policy responses to shelter inflation affect both the overall economy and different households. We find that the aggregate macroeconomic effects of responding to shelter inflation are modest, whereas the redistributive consequences across households are substantially larger. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E2, E3, E4, E5, G, G5 Research Theme(s): Monetary policy, Monetary policy framework and transmission
Time-Varying Crash Risk: The Role of Stock Market Liquidity Staff working paper 2016-35 Peter Christoffersen, Bruno Feunou, Yoontae Jeon, Chayawat Ornthanalai We estimate a continuous-time model with stochastic volatility and dynamic crash probability for the S&P 500 index and find that market illiquidity dominates other factors in explaining the stock market crash risk. While the crash probability is time-varying, its dynamic depends only weakly on return variance once we include market illiquidity as an economic variable in the model. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G0, G01, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
A Dynamic Factor Model for Commodity Prices Staff analytical note 2017-12 Doga Bilgin, Reinhard Ellwanger In this note, we present the Commodities Factor Model (CFM), a dynamic factor model for a large cross-section of energy and non-energy commodity prices. The model decomposes price changes in commodities into a common “global” component, a “block” component confined to subgroups of economically related commodities and an idiosyncratic price shock component. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C5, C51, Q, Q0, Q02 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures
December 15, 2016 Monitoring Shadow Banking in Canada: A Hybrid Approach Financial System Review - December 2016 Bo Young Chang, Gitanjali Kumar, André Usche, Michael Januska In Monitoring Shadow Banking in Canada: A Hybrid Approach, Bo Young Chang, Michael Januska, Gitanjali Kumar and André Usche discuss how lending that occurs outside the traditional banking system provides benefits to the economy but must be monitored carefully for potential financial sector vulnerabilities. They describe how the Bank defines and measures shadow banking and how it assesses vulnerabilities in the sector, using an approach that examines both markets and entities. Content Type(s): Publications, Financial System Review articles JEL Code(s): G, G0, G01, G2, G23