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
June 4, 2020 Economic progress report: keeping markets working Remarks (delivered virtually) Toni Gravelle Greater Sudbury Chamber of Commerce Sudbury, Ontario Deputy Governor Toni Gravelle discusses the Bank’s latest interest rate announcement and explains how efforts to keep financial markets functioning through the COVID-19 crisis will lay a solid foundation for economic recovery Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Financial system, Financial markets, Financial stability, Monetary policy, Economy/Economic growth, Inflation targeting framework
February 15, 2018 Anchoring Expectations: Canada’s Approach to Price Stability Remarks Lawrence L. Schembri Manitoba Association for Business Economists Winnipeg, Manitoba Deputy Governor Lawrence Schembri examines the success of the Bank’s monetary policy framework and explains the review being undertaken before its renewal in 2021. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Monetary policy, Economic models, Economy/Economic growth, Inflation, Inflation targeting framework
May 6, 2010 Is There a Commodity Curse? Lessons from the Past Remarks John Murray University of Alberta Institute for Public Economics and C.D. Howe Institute Edmonton, Alberta As the title of the conference suggests, we have seen many boom-and-bust cycles in the commodity sector. This raises one obvious and central question: How can we avoid them in the future? Content Type(s): Press, Speeches and appearances, Remarks
December 13, 2010 Living with Low for Long Remarks Mark Carney Economic Club of Canada Toronto, Ontario Current turbulence in Europe is a reminder that the crisis is not over, but has merely entered a new phase. In a world awash with debt, repairing the balance sheets of banks, households and countries will take years. Content Type(s): Press, Speeches and appearances, Remarks
What Fed Funds Futures Tell Us About Monetary Policy Uncertainty Staff working paper 2016-61 Jean-Sébastien Fontaine The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a “path” factor signaling information about future policy actions, which is filtered from federal funds futures data. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, E44, E47, G, G1, G12, G13 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy framework and transmission
Fiscal Stimulus and Skill Accumulation over the Life Cycle Staff working paper 2023-9 Laure Simon Using micro data from the U.S. Consumer Expenditure Survey and Current Population Survey, I document that government spending shocks affect individuals differently over the life cycle. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D12, D15, E, E2, E21, E6, E62, J, J1, J11, J2, J24 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
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
2017 Methods-of-Payment Survey: Sample Calibration and Variance Estimation Technical report No. 114 Heng Chen, Marie-Hélène Felt, Christopher Henry This technical report describes sampling, weighting and variance estimation for the Bank of Canada’s 2017 Methods-of-Payment Survey. Under quota sampling, a raking ratio method is implemented to generate weights with both post-stratification and nonparametric nonresponse weight adjustments. Content Type(s): Staff research, Technical reports JEL Code(s): C, C8, C81, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
Decomposing Systemic Risk: The Roles of Contagion and Common Exposures Staff working paper 2024-19 Grzegorz Halaj, Ruben Hipp We examine systemic risks within the Canadian banking sector, decomposing them into three contribution channels: contagion, common exposures, and idiosyncratic risk. Through a structural model, we dissect how interbank relationships and market conditions contribute to systemic risk, providing new insights for financial stability. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, C5, C51, G, G2, G21, L, L1, L14 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models