Beating the “pros” with a semi-structural model of their own inflation forecasts Staff working paper 2026-11 Sergio A. Lago Alves, Waldyr Dutra Areosa, Carlos Viana de Carvalho How can Surveys of Professional Forecasters (SPF) be used to improve inflation forecasts? By using US historical quarterly data on SPF forecasts, we provide better understanding of how we can use forecast disagreement to improve our own forecasts. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C5, C53, E, E3, E31, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Public vs. Private Payment Platforms: Market Impacts and Optimal Policy Staff working paper 2026-10 Youming Liu, Francisco Rivadeneyra, Edona Reshidi We study the competition between a welfare-maximizing public payment platform (e.g., CBDC or fast payment system) and a profit-maximizing private platform in a two-sided market, deriving optimal public pricing and showing how network effects, fragmentation, and policy mandates like zero fees or cost recovery shape welfare, usage, and fee incidence. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D4, E, E4, E42, E5, E58 Research Theme(s): Money and payments, Digital assets and fintech, Payment and financial market infrastructures, Retail payments
The Governor’s Challenge: A Decade of Success Staff analytical paper 2026-9 James Chapman, Stéphanie Houle, Lawrence L. Schembri The Governor’s Challenge (GC) by the Bank of Canada marked its tenth year as a successful outreach and education initiative, designed to strengthen public understanding of macroeconomics and monetary policy. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E5
The Usage of Security Lending Facilities under Unconventional Monetary Policy: Evidence from Sweden Staff working paper 2026-9 Marianna Blix Grimaldi, Fabienne Schneider, David Vestin This paper examines the interaction between quantitative easing (QE) and the securities lending facility (SLF) using a detailed dataset on Riksbank QE purchases, Swedish DMO SLF transactions and OTC repo deals. A theoretical model further shows how excess demand for assets and search frictions shift the SLF from a backstop to a first-resort tool. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, E58, G, G2, G21 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation, Monetary policy, Monetary policy tools and implementation
Project Samara Research Paper Staff analytical paper 2026-8 Rakesh Arora, Umar Faruqui, Scott Hendry, Dinesh Shah, André Usche Project Samara was a real‑world experiment testing distributed ledger technology and wholesale central bank digital money for bond issuance and settlement in Canada. It demonstrated technical feasibility and potential efficiency and risk‑reduction benefits, while highlighting important trade‑offs related to complexity, governance, and regulatory alignment. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E4, E42, E5, E58, G, G2, G28, O, O3, O33 Research Theme(s): Financial markets and funds management, Funds management, Market structure, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Macro News in Market Moves: Classifying News through Asset Co-movements Staff analytical paper 2026-7 Bruno Feunou, Jean-Sébastien Fontaine, Rishi Vala This paper introduces CLONE, a method that decomposes asset price movements into aggregate demand, productivity, inflation, and monetary policy news, using stocks, bonds, and inflation swaps. CLONE simplicity and forward-looking focus helps guide policymakers in determining the economic drivers behind asset price movements. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E3, E32, E4, E44, G, G1, G12, G14 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission
Do Monetary Policy Shocks Affect the Neutral Rate of Interest? Staff working paper 2026-6 Danilo Leiva-Leon, Rodrigo Sekkel, Luis Uzeda Can monetary policy influence the neutral real interest rate (r-star)? Using a new statistical model, we show that interest rate hikes tend to lower r-star and long-run growth, but that monetary policy explains only a small share of the long-run decline in r-star. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C32, C5, C51, E, E3, E32, E4, E44 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
How Do Some Lower-Income Canadians Pay Staff analytical paper 2026-6 Jerry Buckland, Christopher Henry, Wendy Nur, Aidan Romanow-Bear, Stephen Wild Previous research suggests that lower-income Canadians may have unique experiences with the use of payments, including the use of cash and digital payments. We conduct a case study using data from [the Canadian Financial Diaries project/Canadian financial diaries] to gain insight into how some lower-income Canadians pay. 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
The aggregate and heterogeneous effects of responding to shelter inflation Staff analytical paper 2026-5 Michael Irwin, Matías Vieyra This note examines how monetary policy responses to shelter inflation affect both the overall economy and different households. We find that the aggregate macroeconomic effects of responding to shelter inflation are modest, whereas the redistributive consequences across households are substantially larger. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E2, E3, E4, E5, G, G5 Research Theme(s): Monetary policy, Monetary policy framework and transmission
AI Paradox: Promise vs. Reality—What It Means for Monetary Policy Staff analytical paper 2026-4 Joshua Brault, Maryam Haghighi, Jing Yang This note reviews the emerging evidence on AI’s labour-market and productivity effects, highlighting early task-level impacts, sizable micro level productivity gains, and the macroeconomic challenges these pose for monetary policy during the transition. Content Type(s): Staff research, Staff analytical paper JEL Code(s): E, E2, E24, E3, E31, E5, E50, E52, E58 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity