Macroeconomic Disasters and Consumption Smoothing: International Evidence from Historical Data Staff Working Paper 2023-4 Lorenzo Pozzi, Barbara Sadaba Does consumption smoothing fundamentally decrease during macroeconomic disasters? This paper uses a large historical dataset (1870–2016) for 16 industrial economies to show that during macroeconomic disasters (e.g., wars, pandemics, depressions) aggregate consumption and income are significantly less decoupled than during normal times. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Coronavirus disease (COVID-19), Econometric and statistical methods JEL Code(s): C, C2, C23, E, E2, E21
The 2021–22 Merchant Acceptance Survey Pilot Study Staff Discussion Paper 2023-1 Angelika Welte, Joy Wu The rise in digital payment innovations has spurred a discussion about the future of cash at the point of sale. The Bank conducted the 2021–22 Merchant Acceptance Survey Pilot Study to study trends in merchant cash acceptance and monitor conditions for the potential issuance of a central bank digital currency. Content Type(s): Staff research, Staff discussion papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C8, D, D2, D22, E, E4, L, L2
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 Topic(s): Financial markets, Payment clearing and settlement systems JEL Code(s): C, C6, C63, E, E4, E42, E5, E58
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
Core inflation over the COVID-19 pandemic Staff Analytical Note 2022-17 Mikael Khan, Elyse Sullivan We assess the usefulness of various measures of core inflation over the COVID-19 pandemic. We find that Cpi-trim and CPI-median provided the best signal of underlying inflation. The favourable performance of these measures stems from their lack of reliance on historical experience, an especially valuable feature in unprecedented times. Content Type(s): Staff research, Staff analytical notes Topic(s): Econometric and statistical methods, Inflation and prices, Monetary policy JEL Code(s): C, C1, C18, E, E3, E31
Private Digital Cryptoassets as Investment? Bitcoin Ownership and Use in Canada, 2016-2021 Staff Working Paper 2022-44 Daniela Balutel, Walter Engert, Christopher Henry, Kim Huynh, Marcel Voia We report on the dynamics of Bitcoin awareness and ownership from 2016 to 2021, using the Bank of Canada's Bitcoin Omnibus Surveys (BTCOS). Our analysis also helps understand Bitcoin owners who adopted during the COVID-19 and how they differ from long-term owners. Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, E, E4, O, O5, O51
October 12, 2022 Five things we learned about Canadian Bitcoin owners in 2021 Daniela Balutel, Walter Engert, Christopher Henry, Kim Huynh, Marcel Voia We present key findings from the 2021 Bitcoin Omnibus Survey on Canadians’ awareness and ownership of Bitcoin. Most Canadians have heard of Bitcoin, which remains primarily used as an investment. Ownership jumped in 2021, reflecting increased savings during the pandemic and greater availability of user-friendly platforms to buy Bitcoin. Content Type(s): Publications, Financial System Hub articles JEL Code(s): C, C1, C12, E, E4, O, O5, O51
Examining recent revisions to CPI-common Staff Analytical Note 2022-15 Elyse Sullivan Unusually large revisions to CPI-common in recent months stem from increased common movements across consumer price index components amid broad inflationary pressures. With recent revisions, CPI-common is more closely aligned with the Bank of Canada’s other two preferred measures of core inflation. However, caution is necessary when interpreting real-time estimates of CPI-common in the current environment. Content Type(s): Staff research, Staff analytical notes Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C13, C18, E, E3, E31
Forecasting Banks’ Corporate Loan Losses Under Stress: A New Corporate Default Model Technical Report No. 122 Gabriel Bruneau, Thibaut Duprey, Ruben Hipp We present a new corporate default model, one of the building blocks of the Bank of Canada’s bank stress-testing infrastructure. The model is used to forecast corporate loan losses of the Canadian banking sector under stress. Content Type(s): Staff research, Technical reports Topic(s): Economic models, Financial institutions, Financial stability, Financial system regulation and policies JEL Code(s): C, C2, C22, C5, C52, C53, G, G1, G17, G2, G21, G28