How Fast Can China Grow? The Middle Kingdom’s Prospects to 2030 Staff working paper 2016-15 Jeannine Bailliu, Mark Kruger, Argyn Toktamyssov, Wheaton Welbourn Given its size and importance for global commodity markets, the question of how fast the Chinese economy can grow over the medium term is an important one. This paper addresses this question by examining the evolution of the supply side of the Chinese economy over history and projecting how it will evolve over the next 15 years. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E22, E23, E3, E32, O, O4 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
Simulating the Resilience of the Canadian Banking Sector Under Stress: An Update of the Bank of Canada’s Top-Down Solvency Assessment Tool Technical report No. 128 Omar Abdelrahman, David Xiao Chen, Cameron MacDonald, Adi Mordel, Guillaume Ouellet Leblanc We present a technical description of the Top-Down Solvency Assessment (TDSA) tool. As a solvency stress-testing tool, TDSA is used to assess the banking sector’s capital resilience to hypothetical future risk scenarios. Content Type(s): Staff research, Technical reports JEL Code(s): C, C2, C22, C5, C52, C53, G, G1, G17, G2, G21, G28 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Models and tools, Economic models
Forward Guidance and Expectation Formation: A Narrative Approach Staff working paper 2020-40 Christopher S. Sutherland How exactly does forward guidance influence interest rate expectations? Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D83, D84, E, E3, E37, E5, E52, E58 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Decomposing Large Banks’ Systemic Trading Losses Staff working paper 2024-6 Radoslav Raykov Do banks realize simultaneous trading losses because they invest in the same assets, or because different assets are subject to the same macro shocks? This paper decomposes the comovements of bank trading losses into two orthogonal channels: portfolio overlap and common shocks. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G10, G11, G2, G20 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
Optimal Monetary Policy According to HANK Staff working paper 2021-55 Sushant Acharya, Edouard Challe, Keshav Dogra We study optimal monetary policy in an analytically tractable Heterogeneous Agent New Keynesian model. In the model, the central bank has an incentive to reduce consumption inequality in addition to keeping economic activity at its efficient level and inflation stable. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E30, E5, E52, E6, E62, E63 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Gender Gaps in Time Use and Entrepreneurship Staff working paper 2024-43 Pedro Bento, Lin Shao, Faisal Sohail The prevalence of entrepreneurs, particularly low-productivity non-employers, declines as economies develop. This decline is more pronounced for women. Relative to men, women are more likely to be entrepreneurs in poor economies but less likely in rich economies. Content Type(s): Staff research, Staff working papers JEL Code(s): J, J2, L, L2, O, O1 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply, Digitalization and productivity
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
Calibrating the Magnitude of the Countercyclical Capital Buffer Using Market-Based Stress Tests Staff working paper 2018-54 Maarten van Oordt How much capital do banks need as a buffer to absorb severe shocks? By using historical stock market data, market-based stress tests help estimate the magnitude of capital buffers necessary to absorb severe but plausible shocks. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G10, G2, G21, G28 Research Theme(s): Financial system, Financial stability and systemic risk, Financial system regulation and oversight
Sample Calibration of the Online CFM Survey Technical report No. 118 Marie-Hélène Felt, David Laferrière The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples. 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, Cash and bank notes, Retail payments
A Barometer of Canadian Financial System Vulnerabilities Staff analytical note 2017-24 Thibaut Duprey, Tom Roberts This note presents a composite indicator of Canadian financial system vulnerabilities—the Vulnerabilities Barometer. It aims to complement the Bank of Canada’s vulnerabilities assessment by adding a quantitative and synthesized perspective to the more granular (distributional) analysis presented in the Financial System Review. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C1, C14, C4, C40, D, D1, D14, E, E3, E32, E6, E66, F, F0, F01, G, G0, G01, G1, G15, G2, G21, H, H6, H63 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Household and business credit, Models and tools, Econometric, statistical and computational methods