Canadian Financial Stress and Macroeconomic Conditions Staff discussion paper 2020-4 Thibaut Duprey Severe disruptions in the financial markets, as observed during the 2008 global financial crisis or the COVID-19 pandemic, can impair the stability of the entire financial system and worsen macroeconomic downturns. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C3, C32, E, E4, E44, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Real economy and forecasting
December 6, 2012 Financial System Review - December 2012 The Governing Council judges that the risks to the stability of Canada’s financial system remain high, as they were at the time of the June FSR. The sources of the key risks are similar to those highlighted in June, and emanate primarily from the external environment. Content Type(s): Publications, Financial Stability Report
April 16, 2014 Monetary Policy Report – April 2014 Economic growth in Canada is expected to average about 2 1/2 per cent in 2014 and 2015 before easing to around the 2 per cent growth rate of the economy’s potential in 2016. Content Type(s): Publications, Monetary Policy Report
Implementation and Effectiveness of Extended Monetary Policy Tools: Lessons from the Literature Staff discussion paper 2020-16 Grahame Johnson, Sharon Kozicki, Romanos Priftis, Lena Suchanek, Jonathan Witmer, Jing Yang This paper summarizes the literature on the performance of various extended monetary policy tools when conventional policy rates are constrained by the effective lower bound. We highlight issues that may arise when these tools are used by central banks of small open economies. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E5, E52, E58, E6, E63 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
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
ToTEM III: The Bank of Canada’s Main DSGE Model for Projection and Policy Analysis Technical report No. 119 Paul Corrigan, Hélène Desgagnés, José Dorich, Vadym Lepetyuk, Wataru Miyamoto, Yang Zhang ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution. Content Type(s): Staff research, Technical reports JEL Code(s): E, E1, E17, E2, E20, E3, E30, E4, E40, E5, E50, E6, E62, E65, F, F4, F40, F41, G, G5, G51 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
What’s Up with Unit Non-Response in the Bank of Canada’s Business Outlook Survey? The Effect of Staff Tenure Staff discussion paper 2017-11 Sarah Miller, David Amirault, Laurent Martin Since 1997, the Bank of Canada’s regional offices have been conducting the Business Outlook Survey (BOS), a quarterly survey of business conditions. Survey responses are gathered through face-to-face, confidential consultations with a sample of private sector firms representative of the various sectors, firm sizes and regions across Canada. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C2, C21, C8, C81, D, D2, D22 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
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
Chinese Monetary Policy and Text Analytics: Connecting Words and Deeds Staff working paper 2021-3 Jeannine Bailliu, Xinfen Han, Barbara Sadaba, Mark Kruger What are the main drivers behind the monetary policy reaction function of the People’s Bank of China? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, E, E5, E52, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission
Macroprudential FX Regulations: Shifting the Snowbanks of FX Vulnerability? Staff working paper 2018-55 Toni Ahnert, Kristin Forbes, Christian Friedrich, Dennis Reinhardt Can macroprudential foreign exchange (FX) regulations on banks reduce the financial and macroeconomic vulnerabilities created by borrowing in foreign currency? To evaluate the effectiveness and unintended consequences of macroprudential FX regulations, we develop a parsimonious model of bank and market lending in domestic and foreign currency and derive four predictions. Content Type(s): Staff research, Staff working papers JEL Code(s): F, F3, F32, F34, G, G1, G15, G2, G21, G28 Research Theme(s): Financial markets and funds management, International markets and currencies, Financial system, Financial stability and systemic risk, Financial system regulation and oversight