Crowdfunding and Risk Staff working paper 2023-28 David Cimon Crowdfunding may enable unique products to reach the consumer market. I model a crowdfunding technology that publicly screens consumer demand early in the production process. In this model, entrepreneurs like crowdfunding for risky projects where demand is uncertain, but not for large, safe projects or for projects where production costs are uncertain. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G2, G21, G24, G3, G32 Research Theme(s): Financial system, Financial institutions and intermediation, Household and business credit, Money and payments, Digital assets and fintech
November 19, 2019 Researching the Economic Impacts of Climate Change Miguel Molico The Bank of Canada has a mandate to “promote the economic and financial welfare of Canada,” primarily through the conduct of monetary policy and promotion of a safe, sound and efficient financial system. Understanding the macroeconomic and financial system impacts of climate change and the transition to a low-carbon economy is therefore a priority for the Bank. Content Type(s): Staff research, Other Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting, Structural challenges, Climate change
A Portfolio-Balance Model of Inflation and Yield Curve Determination Staff working paper 2020-6 Antonio Diez de los Rios How does the supply of nominal government debt affect the macroeconomy? To answer this question, we propose a portfolio-balance model of the yield curve in which inflation is determined through an interest rate rule. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, E5, E52, G, G1, G12, H, H6, H63 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Monetary policy tools and implementation
August 15, 2013 Big Data Analysis: The Next Frontier Bank of Canada Review - Summer 2013 Nii Ayi Armah The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation. Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C5, C53, C6, C63, C8, C80
August 15, 2000 Restructuring in the Canadian Economy: A Survey of Firms Bank of Canada Review - Summer 2000 Carolyn Kwan Towards the end of the 1980s and into the early 1990s, the Canadian economy experienced a number of structural changes. These included free trade agreements (both the FTA and NAFTA), significant technological advances, deregulation in many sectors of the economy, the arrival of large, U.S.-based retailers, and the introduction of the GST. Content Type(s): Publications, Bank of Canada Review articles
An Alternative Estimate of Canadian Potential Output: The Multivariate State-Space Framework Staff discussion paper 2018-14 Lise Pichette, Maria Bernier, Marie-Noëlle Robitaille In this paper, we extend the state-space methodology proposed by Blagrave et al. (2015) and decompose Canadian potential output into trend labour productivity and trend labour input. As in Blagrave et al. (2015), we include output growth and inflation expectations from consensus forecasts to help refine our estimates. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, E, E0, E5 Research Theme(s): Models and tools, Economic models, Monetary policy, Real economy and forecasting
Multi-Product Pricing: Theory and Evidence from Large Retailers in Israel Staff working paper 2020-12 Marco Bonomo, Carlos Carvalho, Oleksiy Kryvtsov, Sigal Ribon, Rodolfo Rigato Standard theories of price adjustment are based on the problem of a single-product firm, and therefore they may not be well suited to analyze price dynamics in the economy with multiproduct firms. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D21, D22, E, E3, E31, E5, E52, L, L1, L11 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures
Discount Rates, Debt Maturity, and the Fiscal Theory Staff working paper 2021-58 Alexandre Corhay, Thilo Kind, Howard Kung, Gonzalo Morales Do bond risk premiums influence the effects of debt maturity operations? Using a model with realistic bond risk premiums, we show that maturity operations have sizable effects on expected inflation and output when the central bank passively responds to inflation and the fiscal authority weakly responds to the debt level. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, E44, E6, E63, G, G1, G12 Research Theme(s): Financial markets and funds management, Funds management, Market functioning, Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy tools and implementation
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 JEL Code(s): C, C1, C12, E, E4, O, O5, O51 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech
Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning Staff working paper 2022-29 Vladimir Skavysh, Sofia Priazhkina, Diego Guala, Thomas Bromley Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Economic models