A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil Staff working paper 2016-18 Christiane Baumeister, Lutz Kilian Futures markets are a potentially valuable source of information about price expectations. Exploiting this information has proved difficult in practice, because time-varying risk premia often render the futures price a poor measure of the market expectation of the price of the underlying asset. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C53, D, D8, D84, G, G1, G14, Q, Q4, Q43 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods
Managing Risk Taking with Interest Rate Policy and Macroprudential Regulations Staff working paper 2016-47 Simona Cociuba, Malik Shukayev, Alexander Ueberfeldt We develop a model in which a financial intermediary’s investment in risky assets—risk taking—is excessive due to limited liability and deposit insurance and characterize the policy tools that implement efficient risk taking. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E44, E5, E52, G, G1, G11, G18 Research Theme(s): Financial system, Financial stability and systemic risk, Financial system regulation and oversight, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
An Anatomy of Firms’ Political Speech Staff working paper 2024-37 Pablo Ottonello, Wenting Song, Sebastian Sotelo We study the distribution of political speech across U.S. firms. We develop a measure of political engagement based on firms’ communications (earning calls, regulatory filings, and social media) by training a large language model to identify statements that contain political opinions. Using these data, we document five facts about firms’ political engagement. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D22, D6, D63, G, G4, G41, L, L1, L11, L2, L20 Research Theme(s): Financial markets and funds management, Market structure
Survival Analysis of Bank Note Circulation: Fitness, Network Structure and Machine Learning Staff working paper 2020-33 Diego Rojas, Juan Estrada, Kim Huynh, David T. Jacho-Chávez Using the Bank of Canada's Currency Information Management Strategy, we analyze the network structure traced by a bank note’s travel in circulation and find that the denomination of the bank note is important in our potential understanding of the demand and use of cash. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C52, C6, C65, C8, C81, E, E4, E42, E5, E51 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes
Partial Identification of Heteroskedastic Structural Vector Autoregressions: Theory and Bayesian Inference Staff working paper 2025-14 Helmut Lütkepohl, Fei Shang, Luis Uzeda, Tomasz Woźniak We consider structural vector autoregressions that are identified through stochastic volatility. Our analysis focuses on whether a particular structural shock can be identified through heteroskedasticity without imposing any sign or exclusion restrictions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C12, C3, C32, E, E6, E62 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
Global Macro Risks in Currency Excess Returns Staff working paper 2016-32 Kimberly Berg, Nelson C. Mark We study a cross section of carry-trade-generated currency excess returns in terms of their exposure to global fundamental macroeconomic risk. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E4, E43, F, F3, F31, G, G1, G12 Research Theme(s): Financial markets and funds management, International markets and currencies, Market functioning, Models and tools, Economic models
Markups, Pass-Through, and Firm Heterogeneity with Sequentially Mixed Search Staff working paper 2025-7 Alex Chernoff, Allen Head, Beverly Lapham Market power and pass-through of cost and demand shocks are studied in a market with free entry of heterogeneous firms and consumer mixed search. Equilibrium prices and markups are driven by variation in the elasticity of demand across firms. Improved conditions for buyers can either raise or lower market power. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D21, D4, D43, E, E3, E31, L, L1, L11 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures
Assessing Global Potential Output Growth: April 2018 Staff analytical note 2018-9 Richard Beard, Anne-Katherine Cormier, Michael Francis, Katerina Gribbin, Justin-Damien Guénette, Christopher Hajzler, James Ketcheson, Kun Mo, Louis Poirier, Peter Selcuk, Kristina Hess This note presents our estimates of potential output growth for the global economy through 2020. Overall, we expect global potential output growth to remain broadly stable over the projection horizon, averaging 3.3 per cent, although there is considerable uncertainty surrounding these estimates. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E1, E10, E2, E20, O, O4 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
Identifying Nascent High-Growth Firms Using Machine Learning Staff working paper 2023-53 Stéphanie Houle, Ryan Macdonald Firms that grow rapidly have the potential to usher in new innovations, products or processes (Kogan et al. 2017), become superstar firms (Haltiwanger et al. 2013) and impact the aggregate labour share (Autor et al. 2020; De Loecker et al. 2020). We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C55, C8, C81, L, L2, L25 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Digitalization and productivity
How Banks Create Gridlock to Save Liquidity in Canada's Large Value Payment System Staff working paper 2023-26 Rodney J. Garratt, Zhentong Lu, Phoebe Tian We show how participants in Canada’s new high-value payment system save liquidity by exploiting the new gridlock resolution arrangement. The findings have important implications for the design of these systems and shed light on financial institutions’ liquidity preference. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E42, E5, E58, G, G2, G21 Research Theme(s): Financial markets and funds management, Market functioning, Money and payments, Payment and financial market infrastructures