Retrieving Implied Financial Networks from Bank Balance-Sheet and Market Data Staff working paper 2017-30 Jose Fique In complex and interconnected banking systems, counterparty risk does not depend only on the risk of the immediate counterparty but also on the risk of others in the network of exposures. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, D, D8, D85, G, G2, G21 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
CBDC: Banking and Anonymity Staff working paper 2024-9 Yuteng Cheng, Ryuichiro Izumi We examine the optimal amount of user anonymity in a central bank digital currency in the context of bank lending. Anonymity, defined as the lender’s inability to discern an entrepreneur’s actions that enable fund diversion, influences the choice of payment instrument due to its impact on a bank’s lending decisions. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E42, E5, E58, G, G2, G28 Research Theme(s): Financial system, Financial institutions and intermediation, Monetary policy, Monetary policy tools and implementation, Money and payments, Digital assets and fintech, Retail payments
Simulating Intraday Transactions in the Canadian Retail Batch System Staff working paper 2023-1 Nellie Zhang This paper proposes a unique approach to simulate intraday transactions in the Canadian retail payments batch system when such transactions are unobtainable. The simulation procedure has potential for helping with data-deficient problems where only high-level aggregate information is available. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, E, E4, E42, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
Child Skill Production: Accounting for Parental and Market-Based Time and Goods Investments Staff working paper 2020-36 Elizabeth Caucutt, Lance Lochner, Joseph Mullins, Youngmin Park Can daycare replace parents’ time spent with children? We explore this by using data on how parents spend time and money on children and how this spending is related to their child’s development. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D13, H, H3, H31, J, J2, J22, J24 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
Explaining the Interplay Between Merchant Acceptance and Consumer Adoption in Two-Sided Markets for Payment Methods Staff working paper 2019-32 Kim Huynh, Gradon Nicholls, Oleksandr Shcherbakov Recent consumer and merchant surveys show a decrease in the use of cash at the point of sale. Increasingly, consumers and merchants have access to a growing array of payment innovations as substitutes for cash. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C51, L, L1, L13, L15, L8, L81, L9, L96 Research Theme(s): Financial system, Household and business credit, Money and payments, Payment and financial market infrastructures, Retail payments
Predictive Density Combination Using a Tree-Based Synthesis Function Staff working paper 2023-61 Tony Chernis, Niko Hauzenberger, Florian Huber, Gary Koop, James Mitchell This paper studies non-parametric combinations of density forecasts. We introduce a regression tree-based approach that allows combination weights to vary on the features of the densities, time-trends or economic indicators. In two empirical applications, we show the benefits of this approach in terms of improved forecast accuracy and interpretability. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, C3, C32, C5, C53 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
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
Macroeconomic Predictions Using Payments Data and Machine Learning Staff working paper 2022-10 James Chapman, Ajit Desai We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Money and payments, Retail payments
The Welfare Cost of Inflation Revisited: The Role of Financial Innovation and Household Heterogeneity Staff working paper 2018-40 Shutao Cao, Césaire Meh, José-Víctor Ríos-Rull, Yaz Terajima We document that, across households, the money consumption ratio increases with age and decreases with consumption, and that there has been a large increase in the money consumption ratio during the recent era of very low interest rates. We construct an overlapping generations (OLG) model of money holdings for transaction purposes subject to age (older households use more money), cohort (younger generations are exposed to better transaction technology), and time effects (nominal interest rates affect money holdings). Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E4, E41 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
December 12, 2011 Growth in the Age of Deleveraging Remarks Mark Carney Empire Club of Canada / Canadian Club of Toronto Toronto, Ontario Governor Mark Carney discusses the factors driving global deleveraging and the implications for economic growth in Canada. Content Type(s): Press, Speeches and appearances, Remarks