COVID-19 crisis: Liquidity management at Canada’s largest public pension funds Staff analytical note 2021-11 Guillaume Bédard-Pagé, Daniel Bolduc-Zuluaga, Annick Demers, Jean-Philippe Dion, Manu Pandey, Léanne Berger-Soucy, Adrian Walton We examine how the eight largest Canadian public pension funds managed liquidity during the market turmoil in March 2020. The funds were generally resilient to large demands for liquidity and relied heavily on Canada's core funding markets. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E5, E58, G, G0, G01, G2, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
Behaviour in the Canadian large-value payment system: COVID-19 vs. the global financial crisis Staff analytical note 2021-7 Alexander Chaudhry, Anneke Kosse, Karen Sondergard Unlike the 2008–09 global financial crisis, the onset of the COVID-19 crisis did not raise stress levels in Canada’s Large Value Transfer System. Swift changes to the Bank of Canada’s collateral policy and its large-scale asset purchase programs likely eased liquidity pressures in the system. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E4, E42, E5, E51, E58, E6, E65 Research Theme(s): Financial system, Financial stability and systemic risk, Money and payments, Payment and financial market infrastructures
Complementarities Between Fiscal Policy and Monetary Policy—Literature Review Staff discussion paper 2021-4 Wei Dong, Geoffrey R. Dunbar, Christian Friedrich, Dmitry Matveev, Romanos Priftis, Lin Shao This paper surveys and summarizes the literature on how fiscal policy and monetary policy can complement each other in stabilizing economic activity. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E5, E52, E58, E6, E62, E63 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation, Real economy and forecasting
Estimating Policy Functions in Payments Systems Using Reinforcement Learning Staff working paper 2021-7 Pablo S. Castro, Ajit Desai, Han Du, Rodney J. Garratt, Francisco Rivadeneyra We demonstrate the ability of reinforcement learning techniques to estimate the best-response functions of banks participating in high-value payments systems—a real-world strategic game of incomplete information. Content Type(s): Staff research, Staff working papers JEL Code(s): A, A1, A12, C, C7, D, D8, D83, E, E4, E42, E5, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Eggs in One Basket: Security and Convenience of Digital Currencies Staff working paper 2021-6 Charles M. Kahn, Francisco Rivadeneyra, Tsz-Nga Wong Digital currencies store balances in anonymous electronic addresses. This paper analyzes the trade-offs between the safety and convenience of aggregating balances in addresses, electronic wallets and banks. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E42, E5, E51, E58 Research Theme(s): Financial system, Financial stability and systemic risk, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
(Optimal) Monetary Policy with and without Debt Staff working paper 2021-5 Boris Chafwehé, Rigas Oikonomou, Romanos Priftis, Lukas Vogel How should policy be designed at high debt levels, when fiscal authorities have little room to adjust taxes? Assigning the monetary authority a role in achieving debt sustainability makes it less effective in stabilizing inflation and output. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C11, E, E3, E31, E5, E52, E58, E6, E62 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation, Real economy and forecasting
Chinese Monetary Policy and Text Analytics: Connecting Words and Deeds Staff working paper 2021-3 Jeannine Bailliu, Xinfen Han, Barbara Sadaba, Mark Kruger What are the main drivers behind the monetary policy reaction function of the People’s Bank of China? Content Type(s): Staff research, Staff working papers JEL Code(s): C, C6, C63, E, E5, E52, E58 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Monetary policy framework and transmission
Implementation and Effectiveness of Extended Monetary Policy Tools: Lessons from the Literature Staff discussion paper 2020-16 Grahame Johnson, Sharon Kozicki, Romanos Priftis, Lena Suchanek, Jonathan Witmer, Jing Yang This paper summarizes the literature on the performance of various extended monetary policy tools when conventional policy rates are constrained by the effective lower bound. We highlight issues that may arise when these tools are used by central banks of small open economies. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E5, E52, E58, E6, E63 Research Theme(s): Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation
2020 US Neutral Rate Assessment Staff discussion paper 2020-12 James Bootsma, Thomas J. Carter, Xin Scott Chen, Christopher Hajzler, Argyn Toktamyssov This paper presents Bank of Canada staff’s current assessment of the US neutral rate, along with a newly developed set of models on which that assessment is based. The overall assessment is that the US neutral rate currently lies in a range of 1.75 to 2.75 percent. Content Type(s): Staff research, Staff discussion papers JEL Code(s): E, E4, E40, E43, E5, E50, E52, E58, F, F4, F41 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
Optimal Quantitative Easing in a Monetary Union Staff working paper 2020-49 Serdar Kabaca, Renske Maas, Kostas Mavromatis, Romanos Priftis How should a central bank conduct quantitative easing (QE) in a monetary union when regions differ in their size and portfolio characteristics? Optimal QE policy suggests allocating greater purchases from the region that faces stronger portfolio frictions, and not necessarily according to each region’s size. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, E5, E52, E58 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy tools and implementation