Resolving Failed Banks: Uncertainty, Multiple Bidding & Auction Design Staff working paper 2019-30 Jason Allen, Robert Clark, Brent Hickman, Eric Richert Bank resolution is costly. In the United States, the Federal Deposit Insurance Corporation (FDIC) typically resolves failing banks by auction. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C57, D, D4, D44, G, G2, G21 Research Theme(s): Financial markets and funds management, Market structure, Financial system, Financial stability and systemic risk, Financial system regulation and oversight
June 20, 2010 Financial System Review - June 2010 Risks to the stability of both the Canadian and the global financial systems appeared to be diminishing for most of the period since the last Financial System Review (FSR), as the recovery in financial conditions and the macroeconomic environment continued to solidify.FSR Highlights - June 2010 Content Type(s): Publications, Financial Stability Report
More Money for Some: The Redistributive Effects of Open Market Operations Staff working paper 2021-46 Christian Bustamante I use a search-theoretic model of money to study how open market operations affect the conduct of monetary policy and what this means for households along the wealth distribution. In the model, households vary in the size and composition of their portfolios, which in turn implies that they may be unevenly affected by open market operations. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E32, E5, E52 Research Theme(s): Financial system, Household and business credit, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Communicating Uncertainty in Monetary Policy Staff discussion paper 2017-14 Sharon Kozicki, Jill Vardy While central banks cannot provide complete foresight with respect to their future policy actions, it is in the interests of both central banks and market participants that central banks be transparent about their reaction functions and how they may evolve in response to economic developments, shocks, and risks to their outlooks. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E5, E52, E58, E6, E61, E65 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Merchant Acceptance of Cash and Credit Cards at the Point of Sale Staff analytical note 2018-1 Ben Fung, Kim Huynh, Kerry Nield, Angelika Welte Recent data show that the use of credit cards in Canada has been increasing, while the use of cash has been declining. At the same time, only two-thirds of small or medium-sized businesses accept credit cards. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C2, D, D1, E, E4, E41 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes, Retail payments
Labor Market Shocks and Monetary Policy Staff working paper 2023-52 Serdar Birinci, Fatih Karahan, Yusuf Mercan, Kurt See We develop a heterogeneous-agent New Keynesian model featuring a frictional labor market with on-the-job search to quantitatively study the positive and normative implications of employer-to-employer transitions for inflation. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E1, E12, E2, E24, E5, E52, J, J3, J31, J6, J62, J64 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Real economy and forecasting
The Digital Economy—Insight from a Special Survey with IT Service Exporters Staff discussion paper 2016-21 Wei Dong, James Fudurich, Lena Suchanek Information technology (IT) is an increasingly integral part of everyday business and personal life reflecting the ongoing and accelerating digital transformation of the economy. In this paper, we present information gathered from a survey with export-oriented firms in the Canadian IT service industry and consultations with industry associations aimed at shedding light on this small but highly dynamic sector. Content Type(s): Staff research, Staff discussion papers JEL Code(s): D, D2, D22, L, L8, L86, O, O3, O33 Research Theme(s): Structural challenges, Demographics and labour supply, Digitalization and productivity, International trade, finance and competitiveness
February 10, 2021 Payments innovation beyond the pandemic Remarks (delivered virtually) Timothy Lane Institute for Data Valorisation Montréal, Quebec Deputy Governor Timothy Lane talks about how the Bank of Canada is contributing to the modernization of our payments ecosystem, and how the COVID-19 pandemic has highlighted the need to make payments more convenient for all Canadians. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Currency, Digital currency, Financial system, Financial markets, Fintech, Funds management
How big is cash-futures basis trading in Canada’s government bond market? Staff analytical note 2024-16 Andreas Uthemann, Rishi Vala Cash-futures basis trading has grown alongside the Government of Canada bond futures market. We examine this growth over time in relation to Government of Canada bond and repurchase agreement markets and provide details on the type of market participants that engage in this type of trading activity. Content Type(s): Staff research, Staff analytical notes JEL Code(s): D, D4, D47, D5, D53, G, G1, G12, G2, G23 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial stability and systemic risk
October 22, 2006 ToTEM: The Bank of Canada's New Projection and Policy-Analysis Model Bank of Canada Review - Autumn 2006 Paul Fenton, Stephen Murchison The Terms-of-Trade Economic Model, or ToTEM, replaced the Quarterly Projection Model (QPM) in December 2005 as the Bank's principal projection and policy-analysis model for the Canadian economy. Benefiting from advances in economic modelling and computer power, ToTEM builds on the strengths of QPM, allowing for optimizing behaviour on the part of firms and households, both in and out of steady state, in a multi-product environment. The authors explain the motivation behind the development of ToTEM, provide an overview of the model and its calibration, and present several simulations to illustrate its key properties, concluding with some indications of how the model is expected to evolve going forward. Content Type(s): Publications, Bank of Canada Review articles