Geographical and Cultural Proximity in Retail Banking Staff Working Paper 2023-2 Santiago Carbo-Valverde, Héctor Pérez Saiz, Hongyu Xiao This paper measures how both geographical and cultural proximity of bank branches affect household credit choice and pricing. For credit products that require high levels of ex-ante screening, we find that both proximities can complement each other in reducing the cost of providing soft information, thereby increasing credit access. Content Type(s): Staff research, Staff working papers Topic(s): Credit and credit aggregates, Financial institutions, Financial services JEL Code(s): D, D8, D82, D83, G, G2, G20, G21, R, R2, R22, Z, Z1, Z10, Z13
2021 Methods-of-Payment Survey Report Staff Discussion Paper 2022-23 Christopher Henry, Matthew Shimoda, Julia Zhu We present results from the 2021 Methods-of-Payment Survey, including updated payment shares. We highlight long-term trends and provide additional context for results with respect to the COVID-19 pandemic. Content Type(s): Staff research, Staff discussion papers Topic(s): Bank notes, Coronavirus disease (COVID-19), Digital currencies and fintech, Financial services JEL Code(s): D, D8, D83, E, E4, E41
Improving the Efficiency of Payments Systems Using Quantum Computing Staff Working Paper 2022-53 Christopher McMahon, Donald McGillivray, Ajit Desai, Francisco Rivadeneyra, Jean-Paul Lam, Thomas Lo, Danica Marsden, Vladimir Skavysh We develop an algorithm and run it on a hybrid quantum annealing solver to find an ordering of payments that reduces the amount of system liquidity necessary without substantially increasing payment delays. Content Type(s): Staff research, Staff working papers Topic(s): Digital currencies and fintech, Financial institutions, Financial services, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): C, C6, C61, C63, D, D8, D83, E, E4, E42, E5, E58
CANVAS: A Canadian Behavioral Agent-Based Model Staff Working Paper 2022-51 Cars Hommes, Mario He, Sebastian Poledna, Melissa Siqueira, Yang Zhang The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis. Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Econometric and statistical methods, Economic models, Firm dynamics, Inflation and prices JEL Code(s): C, D, D2, D22, D8, D83, E, E1, E17
November 22, 2022 Tracking the financial vulnerabilities of households and the housing market The Bank of Canada is publishing a new set of indicators of financial vulnerabilities. This will allow households, the private sector, financial authorities and governments to better understand and monitor the evolution of two key vulnerabilities in the financial system: the elevated level of household indebtedness and high house prices. Content Type(s): Publications, Financial System Hub articles Topic(s): Credit and credit aggregates, Financial stability, Housing, Monetary and financial indicators, Recent economic and financial developments, Sectoral balance sheet JEL Code(s): D, D1, D14, D8, D84, E, E5, G, G2, G21, R, R2, R21
Behavioral Learning Equilibria in New Keynesian Models Staff Working Paper 2022-42 Cars Hommes, Kostas Mavromatis, Tolga Özden, Mei Zhu We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Economic models, Inflation and prices, Monetary policy JEL Code(s): C, C1, C11, D, D8, D83, D84, E, E3, E6, E62
PayTech and the D(ata) N(etwork) A(ctivities) of BigTech Platforms Staff Working Paper 2022-35 Jonathan Chiu, Thorsten Koeppl Why do BigTech platforms introduce payment services? We explore this using a model in which a monopoly platform faces a trade-off between the costs associated with privacy concerns and the revenue from data services. We then analyze the feedback effects between data and payments. Content Type(s): Staff research, Staff working papers Topic(s): Digital currencies and fintech, Payment clearing and settlement systems JEL Code(s): D, D8, E, E4, E42, L, L1
How Do People View Price and Wage Inflation? Staff Working Paper 2022-34 Monica Jain, Olena Kostyshyna, Xu Zhang This paper examines household-level data from the Canadian Survey of Consumer Expectations (CSCE) to understand households’ expectations about price and wage inflation, how those expectations link to views about labour market conditions and the subsequent impact on households’ outlook for real spending growth. Content Type(s): Staff research, Staff working papers Topic(s): Inflation and prices, Monetary policy communications JEL Code(s): C, C8, C83, D, D8, D84, E, E2, E21, E24, E3, E31
A Horse Race of Monetary Policy Regimes: An Experimental Investigation Staff Working Paper 2022-33 Olena Kostyshyna, Luba Petersen, Jing Yang How should central banks design monetary policy in stable times and during recessions? We run a horse race between five monetary policy frameworks in an experimental laboratory to assess how well the different approaches can manage the public’s expectations and stabilize the economy. Content Type(s): Staff research, Staff working papers Topic(s): Inflation targets, Monetary policy, Monetary policy communications, Monetary policy framework JEL Code(s): C, C9, D, D8, D84, E, E5, E52, E58
Cyber Risk and Security Investment Staff Working Paper 2022-32 Toni Ahnert, Michael Brolley, David Cimon, Ryan Riordan We develop a principal-agent model of cyber-attacking with fee-paying clients who delegate security decisions to financial platforms. We derive testable implications about clients’ vulnerability to cyber attacks and about the fees charged. Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Financial services, Financial stability, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): D, D7, D78, D8, D81, G, G1, G18, G2, G21, G23