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
December 21, 2022 Call for papers: Themed issue in the Journal of Econometrics A themed issue in the Journal of Econometrics invites paper submissions on “Machine learning for economic policy” by May 31, 2023. Content Type(s): Press, Announcements
Are Temporary Oil Supply Shocks Real? Staff Working Paper 2022-52 Johan Brannlund, Geoffrey R. Dunbar, Reinhard Ellwanger Hurricanes disrupt oil production in the Gulf of Mexico because producers shut in oil platforms to safeguard lives and prevent damage. We examine the effects of these temporary oil supply shocks on real economic activity in the United States. Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Inflation and prices JEL Code(s): E, E3, E31, E32, Q, Q3, Q31, Q4, Q41, Q43
Financial Constraints and Corporate Investment in China Staff Discussion Paper 2022-22 Kun Mo, Michel Soudan Financial constraints deter firms from pursuing optimal investment plans. In China, we find privately owned firms face greater financial constraints than state-owned enterprises (SOEs). This can be explained by our finding that lenders appear less concerned about the credit risk of SOEs, which causes distortions in the allocation of credit. Content Type(s): Staff research, Staff discussion papers Topic(s): Financial markets, Firm dynamics JEL Code(s): E, E2, E22, G, G1, G3
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