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 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 Consistent Responses on Future Inflation by Consumers Can Reveal Staff discussion paper 2023-7 Sarah Miller, Patrick Sabourin We analyze factors that may explain consistent answers to questions about inflation expectations in the Canadian Survey of Consumer Expectations. We also compare the inflation forecasts of consumers with consistent responses with those of professional forecasters. Content Type(s): Staff research, Staff discussion papers JEL Code(s): D, D8, D80, D84, E, E3, E31 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Maturity Composition and the Demand for Government Debt Staff working paper 2020-29 Jason Allen, Jakub Kastl, Milena Wittwer The main objectives of debt management are to raise stable and low-cost funding to meet the government’s financial needs and to maintain a well-functioning market for government securities. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, D, D4, D44, E, E5, E58, G, G1, G12 Research Theme(s): Financial markets and funds management, Funds management, Market functioning, Financial system, Financial institutions and intermediation, Models and tools, Economic models
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
Detecting exuberance in house prices across Canadian cities Staff analytical note 2021-9 Ugochi Emenogu, Cars Hommes, Mikael Khan We introduce a model to detect periods of extrapolative house price expectations across Canadian cities. The House Price Exuberance Indicator can be updated on a quarterly basis to support the Bank of Canada’s broader assessment of housing market imbalances. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C5, C53, R, R2, R21, R3, R31 Research Theme(s): Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Economic models, Monetary policy, Real economy and forecasting
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
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
An Economic Perspective on Payments Migration Staff working paper 2020-24 Anneke Kosse, Zhentong Lu, Gabriel Xerri Consumers, businesses and banks make millions of payments each day using a variety of instruments, such as debit cards, cheques and wires. Canada is currently developing three new systems to process these transactions: Lynx, Settlement Optimization Engine (SOE) and Real-Time Rail (RTR). Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E42, G, G2, G21 Research Theme(s): Financial system, Financial stability and systemic risk, Money and payments, Payment and financial market infrastructures, Retail payments
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