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
May 21, 2003 Conference Summary: Price Adjustment and Monetary Policy Bank of Canada Review - Spring 2003 Robert Amano, Donald Coletti The 2002 Bank of Canada Conference focused on price adjustment, a critically important issue for monetary policy. Given the acceptance throughout the 1990s and 2000s of the existence of price stickiness in goods or labour markets, or both, and of the important role that monetary policy can play in an economy, the time was right for a conference that would focus on current developments in this area of research, particularly within a Canadian context. Conference papers covering both theoretical and empirical studies explored such themes as sources of the persistence of inflation, forward-looking models of inflation, models of inflation in open economies, the macroeconomic effects of technology shocks, and models of the interaction between wages, prices, and real economic outcomes. Content Type(s): Publications, Bank of Canada Review articles
Challenges in Implementing Worst-Case Analysis Staff working paper 2018-47 Jon Danielsson, Lerby Ergun, Casper G. de Vries Worst-case analysis is used among financial regulators in the wake of the recent financial crisis to gauge the tail risk. We provide insight into worst-case analysis and provide guidance on how to estimate it. We derive the bias for the non-parametric heavy-tailed order statistics and contrast it with the semi-parametric extreme value theory (EVT) approach. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C0, C01, C1, C14, C5, C58 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods
Cash Versus Card: Payment Discontinuities and the Burden of Holding Coins Staff working paper 2017-47 Heng Chen, Kim Huynh, Oz Shy Cash is the preferred method of payment for small value transactions generally less than $25. We provide insight to this finding with a new theoretical model that characterizes and compares consumers’ costs of paying with cash to paying with cards for each transaction. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D0, D03, E, E4, E42 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Cash and bank notes, Retail payments
The impact of the Bank of Canada’s Government Bond Purchase Program Staff analytical note 2021-23 Rohan Arora, Sermin Gungor, Joe Nesrallah, Guillaume Ouellet Leblanc, Jonathan Witmer We assess the response of Government of Canada bond yields to the Bank of Canada’s initial announcement of the Government Bond Purchase Program (GBPP) as well as to the Bank’s later GBPP purchase operations. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E5, E52, E58, E6, E63 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Monetary policy tools and implementation
Finding a Needle in a Haystack: A Machine Learning Framework for Anomaly Detection in Payment Systems Staff working paper 2024-15 Ajit Desai, Anneke Kosse, Jacob Sharples Our layered machine learning framework can enhance real-time transaction monitoring in high-value payment systems, which are a central piece of a country’s financial infrastructure. When tested on data from Canadian payment systems, it demonstrated potential for accurately identifying anomalous transactions. This framework could help improve cyber and operational resilience of payment systems. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C4, C45, C5, C55, D, D8, D83, E, E4, E42 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
How Far Do Canadians Need to Travel to Access Cash? Staff discussion paper 2023-28 Heng Chen, Daneal O’Habib, Hongyu Xiao This paper develops a travel-based metric to measure Canadians’ access to cash from automated banking machines (ABMs) and financial institution branches. We find that, overall, access to cash remained stable between 2019 and 2022. The total number of ABMs in Canada increased by 3.7% and the total number of branches decreased by 5.2% during that period. Content Type(s): Staff research, Staff discussion papers JEL Code(s): G, G2, G21, J, J1, J15, R, R5, R51 Research Theme(s): Money and payments, Cash and bank notes
Gazing at r-star: A Hysteresis Perspective Staff working paper 2023-5 Paul Beaudry, Katya Kartashova, Césaire Meh Many explanations for the decline in real interest rates over the last 30 years point to the role that population aging or rising income inequality plays in increasing the long-run aggregate demand for assets. Notwithstanding the importance of such factors, the starting point of this paper is to show that the major change driving household asset demand over this period is instead an increased desire—for a given age and income level—to hold assets. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E31, E4, E43, E5, E52, E58, E6, E62, G, G5, G51, H, H6 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Real economy and forecasting
The Productivity Slowdown in Canada: An ICT Phenomenon? Staff working paper 2019-2 Jeffrey Mollins, Pierre St-Amant We ask whether a weaker contribution of information and communication technologies (ICT) to productivity growth could account for the productivity slowdown observed in Canada since the early 2000s. To answer this question, we consider several methods capturing channels through which ICT could affect aggregate productivity growth. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D2, D24, O, O4, O41, O47 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Digitalization and productivity
Market structure of cryptoasset exchanges: Introduction, challenges and emerging trends Staff analytical note 2024-2 Vladimir Skavysh, Jacob Sharples, Sofia Priazhkina, Salman H. Hasham This paper provides an overview of cryptoasset exchanges. We contrast their design with exchanges in traditional financial markets and discuss emerging regulatory trends and innovations aimed at solving the problems cryptoasset exchanges face. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G15, L, L1 Research Theme(s): Financial markets and funds management, Market structure, Money and payments, Digital assets and fintech