Fintech: Is This Time Different? A Framework for Assessing Risks and Opportunities for Central Banks Staff discussion paper 2017-10 Meyer Aaron, Francisco Rivadeneyra, Samantha Sohal We investigate the risks and opportunities to the mandates of central banks arising from fintech developments. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E4, E42, G, G1, G2, L, L1 Research Theme(s): Financial system, Financial institutions and intermediation, Financial system regulation and oversight, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Untapped Potential: Mobile Device Ownership and Mobile Payments in Canada Staff working paper 2024-25 Marie-Hélène Felt, Angelika Welte, Katrina Talavera We present a two-stage model of mobile phone and mobile payment usage that controls for selectivity. This reveals unobserved factors that work against having a mobile phone and toward mobile paying. Therefore, people who are unable to acquire or choose not to own a mobile device might have unmet payment needs. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C3, C39, D, D1, D12, E, E4, E42 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech, Retail payments
December 21, 2006 Financial System Review - December 2006 The financial system makes an important contribution to the welfare of all Canadians. The ability of households and firms to confidently hold and transfer financial assets is one of the fundamental building blocks of the Canadian economy. Content Type(s): Publications, Financial Stability Report
Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement Staff working paper 2018-21 Elena Goldman, Xiangjin Shen We explore properties of asymmetric generalized autoregressive conditional heteroscedasticity (GARCH) models in the threshold GARCH (GTARCH) family and propose a more general Spline-GTARCH model, which captures high-frequency return volatility, low-frequency macroeconomic volatility as well as an asymmetric response to past negative news in both autoregressive conditional heteroscedasticity (ARCH) and GARCH terms. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C58, G, G1, G19, G2, G23, G28 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
Did U.S. Consumers Respond to the 2014–2015 Oil Price Shock? Evidence from the Consumer Expenditure Survey Staff working paper 2018-13 Patrick Alexander, Louis Poirier The impact of oil price shocks on the U.S. economy is a topic of considerable debate. In this paper, we examine the response of U.S. consumers to the 2014–2015 negative oil price shock using representative survey data from the Consumer Expenditure Survey. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D1, D12, E, E2, E21, Q, Q4, Q43 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Anchored Inflation Expectations: What Recent Data Reveal Staff working paper 2025-5 Olena Kostyshyna, Isabelle Salle, Hung Truong We analyze micro-level data from the Canadian Survey of Consumer Expectations through the lens of a heterogeneous-expectations model to study how inflation expectations form over the business cycle. We provide new insights into how households form expectations, documenting that forecasting behaviours, attention and noise in beliefs vary across socio-demographic groups and correlate with views about monetary policy. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D84, E, E3, E31, E7, E70 Research Theme(s): Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Real economy and forecasting
Income Inequality in Canada Staff discussion paper 2022-16 Sarah Burkinshaw, Yaz Terajima, Carolyn A. Wilkins Data show that income inequality in Canada increased substantially during the 1980s and first half of the 1990s but has been relatively stable over the past 25 years. This increase was felt mainly by low-income earners and younger people, while older people benefited from higher retirement income. Content Type(s): Staff research, Staff discussion papers JEL Code(s): D, D3, D31, D6, D63, I, I2, I24, I3, I32, J, J3, J31, J32, N, N3, N32 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
A Fresh Look at the Publication and Citation Gap Between Men and Women: Insights from Economics and Political Science Staff working paper 2025-13 Daniel Stockemer, Gabriela Galassi, Engi Abou-El-Kheir In recent years, significant efforts have been made to attract more women into academia and to support their careers, with the goal of increasing their representation. Content Type(s): Staff research, Staff working papers JEL Code(s): A, A1, A14, I, I2, I23, J, J1, J16, J4, J44, J7, J71 Research Theme(s): Structural challenges, Demographics and labour supply
What cured the TSX Equity index after COVID-19? Staff analytical note 2021-3 Guillaume Ouellet Leblanc, Jean-Sébastien Fontaine, Ryan Shotlander The TSX index rose by 9.5 percent in November 2020, adding large gains to an already sharp V-shaped recovery. The economic outlook improved at that time as well. We ask whether the stock market gains since last autumn are due to improving forecasts of firms’ earnings. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G12, G14 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Real economy and forecasting
Estimating Systematic Risk Under Extremely Adverse Market Conditions Staff working paper 2016-22 Maarten van Oordt, Chen Zhou This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its asymptotic properties. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, G, G0, G01 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods