C - Mathematical and Quantitative Methods

• Learning in a Complex World: Insights from an OLG Lab Experiment

  Staff Working Paper 2023-13 Cars Hommes, Stefanie J. Huber, Daria Minina, Isabelle Salle

  This paper brings novel insights into group coordination and price dynamics in complex environments. We implement a chaotic overlapping-generation model in the lab and find that group coordination is always on the steady state or on the two-cycle and that behavior is non-monotonic.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Economic models JEL Code(s): C, C6, C62, C68, C9, C91, C92, E, E1, E13, E7, E70, G, G1, G12, G4, G41

• Inflation, Output, and Welfare in the Laboratory

  Staff Working Paper 2023-11 Janet Hua Jiang, Daniela Puzzello, Cathy Zhang

  We investigate the effect of inflation on output and welfare in the laboratory. Consistent with monetary theory, we find that inflation acts as a tax on monetary exchange and reduces output and welfare.

  Content Type(s): Staff research, Staff working papers Topic(s): Inflation and prices, Inflation: costs and benefits, Monetary policy JEL Code(s): C, C9, C92, D, D8, D83, E, E4, E40

• Introducing the Bank of Canada’s Market Participants Survey

  Staff Analytical Note 2023-1 Annick Demers, Tamara Gomes, Stephane Gignac

  The Market Participants Survey (MPS) gathers financial market participants’ expectations for key macroeconomic and financial variables and for monetary policy. This staff analytical note describes the MPS’s objectives and main features, its process and design, and how Bank of Canada staff use the results.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Financial markets, Monetary policy and uncertainty, Recent economic and financial developments JEL Code(s): C, C8, C83, E, E4, E44, E5, E52, E58, G, G1, G12, G14

• Climate Variability and International Trade

  Staff Working Paper 2023-8 Geoffrey R. Dunbar, Walter Steingress, Ben Tomlin

  This paper quantifies the impact of hurricanes on seaborne international trade to the United States. Matching the timing of hurricane–trade route intersections with monthly U.S. port-level trade data, we isolate the unanticipated effects of a hurricane hitting a trade route using two separate identification schemes: an event study and a local projection.

  Content Type(s): Staff research, Staff working papers Topic(s): Climate change, International topics JEL Code(s): C, C2, C22, C5, F, F1, F14, F18, Q, Q5, Q54

• Risk Amplification Macro Model (RAMM)

  Technical Report No. 123 Kerem Tuzcuoglu

  The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios.

  Content Type(s): Staff research, Technical reports Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Financial stability, Monetary policy transmission JEL Code(s): C, C5, C51, E, E3, E37, E4, E44, F, F4, F44

• 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