June 2, 2022 Economic progress report: Navigating a high inflation environment Remarks (delivered virtually) Paul Beaudry Gatineau Chamber of Commerce Gatineau, Quebec Bank of Canada Deputy Governor Paul Beaudry talks about the Bank’s latest interest rate announcement and the importance of keeping inflation expectations well anchored to prevent high inflation from becoming entrenched. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Monetary policy, Economy/Economic growth, Inflation, Inflation targeting framework
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
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
On Causal Networks of Financial Firms: Structural Identification via Non-parametric Heteroskedasticity Staff working paper 2020-42 Ruben Hipp Banks’ business interactions create a network of relationships that are hidden in the correlations of bank stock returns. But for policy interventions, we need causality to understand how the network changes. Thus, this paper looks for the causal network anticipated by investors. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C3, C32, C5, C58, L, L1, L14 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
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
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
Implementing Market-Based Indicators to Monitor Vulnerabilities of Financial Institutions Staff analytical note 2016-5 Cameron MacDonald, Maarten van Oordt, Robin Scott This note introduces several market-based indicators and examines how they can further inform the Bank of Canada’s vulnerability assessment of Canadian financial institutions. Market-based indicators of leverage suggest that the solvency risk for major Canadian banks has increased since the beginning of the oil-price correction in the second half of 2014. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G10, G2, G21 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk
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
Identification and Estimation of Risk Aversion in First-Price Auctions with Unobserved Auction Heterogeneity Staff working paper 2016-23 Serafin Grundl, Yu Zhu This paper shows point identification in first-price auction models with risk aversion and unobserved auction heterogeneity by exploiting multiple bids from each auction and variation in the number of bidders. The required exclusion restriction is shown to be consistent with a large class of entry models. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, C5, C57, D, D4, D44, L, L0, L00 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Econometric, statistical and computational methods
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