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
Do Survey Expectations of Stock Returns Reflect Risk Adjustments? Staff working paper 2019-11 Klaus Adam, Dmitry Matveev, Stefan Nagel Motivated by the observation that survey expectations of stock returns are inconsistent with rational return expectations under real-world probabilities, we investigate whether alternative expectations hypotheses entertained in the literature on asset pricing are consistent with the survey evidence. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G10, G12 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Models and tools, Econometric, statistical and computational methods, Economic models
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
The increasing role of hedge funds in Government of Canada bond auctions Staff analytical note 2025-22 Adam Epp, Jeffrey Gao We find that the rise in Government of Canada debt issuance correlates to growing participation of hedge funds in bond auctions since 2020. This increased participation supports the cost-effective distribution of Canada’s debt, but it also represents a potential vulnerability because hedge funds have a greater flight risk than other investor types. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D4, D44, G, G1, G12, G2, G23, H, H6, H63 Research Theme(s): Financial markets and funds management, Funds management, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
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
February 4, 2010 The Coming Thaw Remarks Mark Carney Winnipeg Chamber of Commerce Winnipeg, Manitoba It is a pleasure to be here in Winnipeg. Today, I intend to elaborate on elements of the Bank of Canada's economic outlook. Content Type(s): Press, Speeches and appearances, Remarks
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
A Microfounded Design of Interconnectedness-Based Macroprudential Policy Staff working paper 2016-6 Jose Fique To address the challenges posed by global systemically important banks (G-SIBs), the Basel Committee on Banking Supervision recommended an “additional loss absorbency requirement” for these institutions. Along these lines, I develop a microfounded design of capital surcharges that target the interconnectedness component of systemic risk. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, D85, G, G2, G21, G28 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Financial system regulation and oversight, Models and tools, Economic models
Simulating Intraday Transactions in the Canadian Retail Batch System Staff working paper 2023-1 Nellie Zhang This paper proposes a unique approach to simulate intraday transactions in the Canadian retail payments batch system when such transactions are unobtainable. The simulation procedure has potential for helping with data-deficient problems where only high-level aggregate information is available. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, E, E4, E42, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures