Earnings Dynamics and Intergenerational Transmission of Skill Staff working paper 2020-46 Lance Lochner, Youngmin Park How are your past, current and future earnings related to those of your parents? We explore this by using 37 years of Canadian tax data on two generations. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C33, J, J2, J24, J6, J62 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Structural challenges, Demographics and labour supply
November 28, 2017 Financial System Review - November 2017 This issue of the Financial System Review reflects the Bank’s judgment that the high level of household indebtedness and housing market imbalances remain the most important vulnerabilities. While these vulnerabilities are still elevated, improving economic conditions and recent changes to housing policy should support an easing of these vulnerabilities over time. A third vulnerability highlighted in the FSR concerns cyber threats and the interconnectedness of the financial system. Content Type(s): Publications, Financial Stability Report
Stability and Efficiency in Decentralized Two‐Sided Markets with Weak Preferences Staff working paper 2017-4 Radoslav Raykov Many decentralized markets are able to attain a stable outcome despite the absence of a central authority (Roth and Vande Vate, 1990). A stable matching, however, need not be efficient if preferences are weak. This raises the question whether a decentralized market with weak preferences can attain Pareto efficiency in the absence of a central matchmaker. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C7, C78, D, D6, D61 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Economic models
Classical Decomposition of Markowitz Portfolio Selection Staff working paper 2020-21 Christopher Demone, Olivia Di Matteo, Barbara Collignon In this study, we enhance Markowitz portfolio selection with graph theory for the analysis of two portfolios composed of either EU or US assets. Using a threshold-based decomposition of their respective covariance matrices, we perturb the level of risk in each portfolio and build the corresponding sets of graphs. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C02 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods
Do Canadian Broker-Dealers Act as Agents or Principals in Bond Trading? Staff analytical note 2017-11 Daniel Hyun, Jesse Johal, Corey Garriott Technology, risk tolerance and regulation may influence dealers to reduce their trading as principals (using their own balance sheets for sales and purchases of securities) in favour of agency trading (matching client trades). Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G14, G2, G20, L, L1 Research Theme(s): Financial markets and funds management, Market functioning, Market structure
Optimal Capital Regulation Staff working paper 2017-6 Stéphane Moyen, Josef Schroth We study constrained-efficient bank capital regulation in a model with market-imposed equity requirements. Banks hold equity buffers to insure against sudden loss of access to funding. However, in the model, banks choose to only partially self-insure because equity is privately costly. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E1, E13, E3, E32, E4, E44 Research Theme(s): Financial system, Financial institutions and intermediation, Financial stability and systemic risk, Financial system regulation and oversight
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
Merchant Access to Cash: Going the Extra Kilometer? Staff analytical paper 2026-41 Angelika Welte, Stephen Wild, Patrick Fogaing kouamo In this study, we measure SMBs’ access to cash using the driving distance to financial institution (FI) branches. First, we measure the distance between SMBs and the nearest FI branch. Second, we use a sample of 651 SMBs from the 2023 Merchant Acceptance Survey to examine SMBs’ banking choices. Content Type(s): Staff research, Staff analytical paper JEL Code(s): D, D8, D83, E, E4, E41 Research Theme(s): Money and payments, Cash and bank notes, Retail payments
February 21, 2013 The G-20 Framework for Strong, Sustainable and Balanced Growth: Macroeconomic Coordination Since the Crisis Bank of Canada Review - Winter 2012-2013 Robert Lavigne, Subrata Sarker Since 2009, the G-20 Framework for Strong, Sustainable and Balanced Growth has provided a mechanism for international macroeconomic policy coordination. The Framework has had some successes, including agreement on objectives for fiscal consolidation. However, post-crisis global growth has been neither strong nor balanced. Progress has also been slow in developing credible fiscal consolidation plans in some advanced countries and in increasing exchange rate flexibility in certain emerging economies. A stronger peer review process and enhanced analysis of international spillovers would increase the Framework’s influence on member policies. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E6, E61, F, F5, F53, F55
Measuring the AI Economy Staff working paper 2026-20 Anton Korinek, Patrick McKelvey We construct a macroeconomic estimate of total AI production in the United States, combining inference and R&D/training activities with quality adjustments to account for algorithmic progress. We then develop a nascent framework for "AI GDP" that tracks the AI economy as a coherent whole, complementing traditional national accounts. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C4, C43, E, E0, E01, E2, E22, E3, E31, O, O3, O33, O4, O47 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity