2019 Cash Alternative Survey Results Staff discussion paper 2020-8 Kim Huynh, Gradon Nicholls, Mitchell Nicholson The role of cash in Canadians’ lives has been evolving, as innovations in digital payments have become more widely adopted over the past decade. We contribute to the Bank of Canada’s research on central bank digital currency by monitoring Canadians’ use of cash and their adoption of digital payment methods. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Bank notes, Central bank research, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, C9, E, E4, O, O5, O51 Research Theme(s): Money and payments, Cash and bank notes, Digital assets and fintech
Cash and COVID-19: The impact of the pandemic on demand for and use of cash Staff discussion paper 2020-6 Heng Chen, Walter Engert, Kim Huynh, Gradon Nicholls, Mitchell Nicholson, Julia Zhu Consumer spending declined significantly during the recent COVID-19 pandemic. This negative shock likely reduced spending across all methods of payment (cash, debit, credit, etc.). The mix of payment methods consumers use could also be affected. We study how the pandemic has influenced the demand for and use of cash. We also offer insights into the use of other payment methods, such as debit and credit cards. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Bank notes, Central bank research, Coronavirus disease (COVID-19), Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, C9, E, E4, O, O5, O54 Research Theme(s): Money and payments, Cash and bank notes, Retail payments
2018 Bitcoin Omnibus Survey: Awareness and Usage Staff discussion paper 2019-10 Christopher Henry, Kim Huynh, Gradon Nicholls, Mitchell Nicholson The Bank of Canada continues to use the Bitcoin Omnibus Survey (BTCOS) to monitor trends in Canadians’ awareness, ownership and use of Bitcoin. The most recent iteration was conducted in late 2018, following an 85 percent decline in the price of Bitcoin throughout the year. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, E, E4, O, O5, O51 Research Theme(s): Money and payments, Cash and bank notes, Digital assets and fintech
Bitcoin Awareness and Usage in Canada: An Update Staff analytical note 2018-23 Christopher Henry, Kim Huynh, Gradon Nicholls The results of our 2017 Bitcoin Omnibus Survey (December 12 to 15, 2017) when compared with those from 2016 show that Bitcoin “awareness” increased from 64 to 85 per cent, while ownership increased from 2.9 to 5.0 per cent. Most Bitcoin purchasers are using the cryptocurrency as an investment and not as a means of payment for goods or services. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, E, E4 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes, Digital assets and fintech
Bitcoin Awareness and Usage in Canada Staff working paper 2017-56 Christopher Henry, Kim Huynh, Gradon Nicholls There has been tremendous discussion of Bitcoin, digital currencies and FinTech. However, there is limited empirical evidence of Bitcoin’s adoption and usage. We propose a methodology to collect a nationally representative sample using the Bitcoin Omnibus Survey (BTCOS) to track the ubiquity and usage of Bitcoin in Canada. Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, E, E4 Research Theme(s): Money and payments, Cash and bank notes, Digital assets and fintech
The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Estimation of the Total Private Cost for Large Businesses Technical report No. 110 Valéry Dongmo Jiongo The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods faced low response rates and outliers in sample data for two of its retailer strata: chains and large independent businesses. This technical report investigates whether it is appropriate to combine these two strata to produce more accurate estimates of the total private cost to large businesses of the main payment methods. Content Type(s): Staff research, Technical reports Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C12, C8, C83 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Retail payments
Small‐Sample Tests for Stock Return Predictability with Possibly Non‐Stationary Regressors and GARCH‐Type Effects Staff working paper 2017-10 Sermin Gungor, Richard Luger We develop a simulation-based procedure to test for stock return predictability with multiple regressors. The process governing the regressors is left completely free and the test procedure remains valid in small samples even in the presence of non-normalities and GARCH-type effects in the stock returns. Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C12, C3, C32, G, G1, G14 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods
Early Warning of Financial Stress Events: A Credit-Regime-Switching Approach Staff working paper 2016-21 Fuchun Li, Hongyu Xiao We propose an early warning model for predicting the likelihood of a financial stress event for a given future time, and examine whether credit plays an important role in the model as a non-linear propagator of shocks. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial stability JEL Code(s): C, C1, C12, C14, G, G0, G01, G1, G17 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods