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 Research Topic(s): Climate change, Credit and credit aggregates, Econometric and statistical methods, Financial stability 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 Research Topic(s): Firm dynamics, Recent economic and financial developments 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 Research Topic(s): Digital currencies and fintech, Econometric and statistical methods, Economic models 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
Energy Efficiency and Fluctuations in CO2 Emissions Staff working paper 2021-47 Soojin Jo, Lilia Karnizova Carbon dioxide emissions have been commonly modelled as rising and falling with total output. Yet many factors, such as energy-efficiency improvements and shifts to cleaner energy, can break this relationship. We evaluate these factors using US data and find that changes in energy efficiency of consumption goods explain a significant proportion of emissions fluctuations. This finding also implies that models that omit energy efficiency likely overestimate the trade-off between environmental protection and economic performance. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Climate change, Econometric and statistical methods JEL Code(s): E, E3, E32, Q, Q4, Q43, Q5, Q50, Q55 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, Climate change
Covariates Hiding in the Tails Staff working paper 2021-45 Milian Bachem, Lerby Ergun, Casper G. de Vries We characterize the bias in cross-sectional Hill estimates caused by common underlying factors and propose two simple-to-implement remedies. To test for the presence, direction and size of the bias, we use monthly US stock returns and annual US Census county population data. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C0, C01, C1, C14, C5, C58 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods
Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers Staff working paper 2021-37 Felix Brunner, Ruben Hipp Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C2, C22, C5, C52, E, E2, E23, E27 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Measuring and Evaluating Strategic Communications at the Bank of Canada Staff discussion paper 2021-9 Annie Portelance The Bank of Canada’s Communications Department has developed a framework to quantify and qualify the Bank’s communications efforts and their results. Using data-based measurement and evaluation, the department can assess the impact of the Bank’s communications activities and gauge the department’s contribution to the Bank’s overall goals. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Central bank research, Credibility, Monetary policy communications JEL Code(s): D, D8, D83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission
A New Measure of Monetary Policy Shocks Staff working paper 2021-29 Xu Zhang Combining various high frequency financial data with central bank projections, I construct a new measure of monetary policy shocks not predictable by the public information preceding a central bank’s announcements. I then study the causal effects of monetary policy on the macro economy. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods, Interest rates, Monetary policy JEL Code(s): E, E5, G, G0 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
Shaping the future: Policy shocks and the GDP growth distribution Staff working paper 2021-24 Francois-Michel Boire, Thibaut Duprey, Alexander Ueberfeldt Can central bank and government policies impact the risks around the outlook for GDP growth? We find that fiscal stimulus makes strong GDP growth more likely—even more so when monetary policy is constrained—rather than weak GDP growth less likely. Thus, fiscal stimulus should accelerate the recovery phase of the COVID-19 pandemic. Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Econometric and statistical methods, Financial stability, Fiscal policy, Monetary policy JEL Code(s): C, C3, C32, C5, C53, E, E5, E52, E6, E62 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
An Empirical Analysis of Bill Payment Choices Staff working paper 2021-23 Anneke Kosse How do Canadians pay their bills? 2019 survey data collected from over 4,000 Canadian consumers show how people’s bill payment choices vary with consumer characteristics and types of bills. The data also reveal that many consumers feel limited in their choices, which suggests that preferences of billers might play an important role as well. Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Econometric and statistical methods, Financial services, Payment clearing and settlement systems JEL Code(s): D, D1, D9, G, G2 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments