Forecasting Risks to the Canadian Economic Outlook at a Daily Frequency Staff discussion paper 2023-19 Chinara Azizova, Bruno Feunou, James Kyeong This paper quantifies tail risks in the outlooks for Canadian inflation and real GDP growth by estimating their conditional distributions at a daily frequency. We show that the tail risk probabilities derived from the conditional distributions accurately reflect realized outcomes during the sample period from 2002 to 2022. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C3, C32, C5, C58, E, E4, E44, G, G1, G17 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
June 2, 2022 Economic progress report: Navigating a high inflation environment Remarks (delivered virtually) Paul Beaudry Gatineau Chamber of Commerce Gatineau, Quebec Bank of Canada Deputy Governor Paul Beaudry talks about the Bank’s latest interest rate announcement and the importance of keeping inflation expectations well anchored to prevent high inflation from becoming entrenched. Content Type(s): Press, Speeches and appearances, Remarks Subject(s): Monetary policy, Economy/Economic growth, Inflation, Inflation targeting framework
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
Technological Progress and Monetary Policy: Managing the Fourth Industrial Revolution Staff discussion paper 2019-11 Stephen S. Poloz This paper looks at the implications for monetary policy of the widespread adoption of artificial intelligence and machine learning, which is sometimes called the “fourth industrial revolution.” Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, E, E3, O, O1, O11, O3, O33 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Structural challenges, Digitalization and productivity
The Countercyclical Capital Buffer and International Bank Lending: Evidence from Canada Staff working paper 2021-61 David Xiao Chen, Christian Friedrich We examine the impact of the CCyB on foreign lending activities of Canadian banks. We show that the announcement of a tightening in another country’s CCyB leads to a decrease in the growth rate of cross-border lending between Canadian banks and borrowers in that other country. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32, F, F2, F21, F3, F32, G, G2, G21, G28 Research Theme(s): Financial markets and funds management, International markets and currencies, Financial system, Financial stability and systemic risk, Financial system regulation and oversight
Price Discounts and Cheapflation During the Post-Pandemic Inflation Surge Staff working paper 2024-31 Alberto Cavallo, Oleksiy Kryvtsov We study how price variation within a store changes with inflation, and whether households exploit these changes to reduce the burden of inflation. We find that price changes from discounts mitigated the inflation burden while cheapflation exacerbated it. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E2, E21, E3, E30, E31, L, L8, L81 Research Theme(s): Financial markets and funds management, Market functioning, Monetary policy, Inflation dynamics and pressures
What COVID-19 revealed about the resilience of bond funds Staff analytical note 2020-18 Guillaume Ouellet Leblanc, Ryan Shotlander The liquidity management strategies of fund managers, supported by policy measures, have helped bond funds limit the increase in redemptions caused by COVID 19. This avoided further deterioration in liquidity in bond markets. Nevertheless, these funds were left with lower cash buffers, which could make them more vulnerable to additional large redemptions. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G2, G20, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
Testing Collusion and Cooperation in Binary Choice Games Staff working paper 2023-58 Erhao Xie This paper studies the testable implication of players’ collusive or cooperative behaviour in a binary choice game with complete information. I illustrate the implementation of this test by revisiting the entry game between Walmart and Kmart. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C57, L, L1, L13 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Econometric, statistical and computational methods
Modelling Canadian mortgage debt and payments in a semi-structural model Staff analytical note 2024-1 Fares Bounajm, Austin McWhirter We show how Canadian mortgage debt dynamics can be modelled in a semi-structural macroeconomic model, such as the Bank of Canada’s LENS. The model we propose accounts for Canada’s unique mortgage debt structure. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E27, E4, E43, E47, G, G5, G51 Research Theme(s): Financial system, Household and business credit, Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission
On the Evolution of the United Kingdom Price Distributions Staff working paper 2018-25 Ba M. Chu, Kim Huynh, David T. Jacho-Chávez, Oleksiy Kryvtsov We propose a functional principal components method that accounts for stratified random sample weighting and time dependence in the observations to understand the evolution of distributions of monthly micro-level consumer prices for the United Kingdom (UK). Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C14, C8, C83, E, E3, E31, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures