Cash in the Pocket, Cash in the Cloud: Cash Holdings of Bitcoin Owners Staff working paper 2022-26 Daniela Balutel, Christopher Henry, Kim Huynh, Marcel Voia We estimate the effect that owning Bitcoin has on the amount of cash held by Canadian consumers. Our results question the view that adopting certain new technologies, such as Bitcoin, leads to a decline in cash holdings. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C12, E, E4, O, O3, O33, O5, O51 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes, Digital assets and fintech
Nonparametric Identification of Incomplete Information Discrete Games with Non-equilibrium Behaviors Staff working paper 2022-22 Erhao Xie This paper jointly relaxes two assumptions in the literature that estimates games. These two assumptions are the parametric restriction on the model primitives and the restriction of equilibrium behaviors. Without imposing the above two assumptions, this paper identifies the primitives of the game. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C57 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models
Nowcasting Canadian GDP with Density Combinations Staff discussion paper 2022-12 Tony Chernis, Taylor Webley We present a tool for creating density nowcasts for Canadian real GDP growth. We demonstrate that the combined densities are a reliable and accurate tool for assessing the state of the economy and risks to the outlook. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C52, C53, E, E3, E7 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
More Than Words: Fed Chairs’ Communication During Congressional Testimonies Staff working paper 2022-20 Michelle Alexopoulos, Xinfen Han, Oleksiy Kryvtsov, Xu Zhang We measure soft information contained in the congressional testimonies of U.S. Federal Reserve Chairs and analyze its effect on financial markets. Increases in the Chair’s text-, voice-, or face-emotion indices during these testimonies generally raise stock prices and lower their volatility. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E52, E58, E7, E71 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission
Historical Data on Repurchase Agreements from the Canadian Depository for Securities Technical report No. 121 Maxim Ralchenko, Adrian Walton We develop an algorithm that extracts information about sale and repurchase agreements (repos) from disaggregated settlement data in order to generate a new historical dataset for research. Content Type(s): Staff research, Technical reports JEL Code(s): C, C5, C55, C8, C81, G, G1, G10 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods
Equilibrium in Two-Sided Markets for Payments: Consumer Awareness and the Welfare Cost of the Interchange Fee Staff working paper 2022-15 Kim Huynh, Gradon Nicholls, Oleksandr Shcherbakov We construct and estimate a structural two-stage model of equilibrium in a market for payments in order to quantify the network externalities and identify the main determinants of consumer and merchant decisions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C51, D, D1, D12, E, E4, E42, L, L1, L14 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures, Retail payments
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
Assessing Climate-Related Financial Risk: Guide to Implementation of Methods Technical report No. 120 Hossein Hosseini Jebeli, Craig Johnston, Craig Logan, Miguel Molico, Xiangjin Shen, Marie-Christine Tremblay A pilot project on climate transition scenarios by the Bank of Canada and the Office of the Superintendent of Financial Institutions assessed climate-related credit and market risks. This report describes the project’s methodologies and provides guidance on implementing them. Content Type(s): Staff research, Technical reports JEL Code(s): C, C5, C53, C8, C83, G, G1, G3, G32 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Structural challenges, Climate change
Business Closures and (Re)Openings in Real Time Using Google Places Staff working paper 2022-1 Thibaut Duprey, Daniel E. Rigobon, Philip Schnattinger, Artur Kotlicki, Soheil Baharian, T. R. Hurd The COVID-19 pandemic highlighted the need for policy-makers to closely monitor disruptions to the retail and food business sectors. We present a new method to measure business opening and closing rates using real-time data from Google Places, the dataset behind the Google Maps service. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C55, C8, C81, D, D2, D22, E, E3, E32 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Bitcoin Adoption and Beliefs in Canada Staff working paper 2021-60 Daniela Balutel, Christopher Henry, Jorge Vásquez, Marcel Voia Using an economic model as well as survey data from the Bank of Canada, we study what factors influence the adoption of Bitcoin in Canada. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D83, O, O3, O33 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Money and payments, Digital assets and fintech