Entry and Exit in Treasury Auctions Staff Working Paper 2024-29 Jason Allen, Ali Hortaçsu, Eric Richert, Milena Wittwer This paper introduces and estimates a structural model of the Canadian primary market for government debt. We assess the role of dealer exit in this market as a key reason for increased, yet irregular, customer entry and quantify the benefits of greater customer competition against the costs of higher market volatility. Content Type(s): Staff research, Staff working papers Topic(s): Debt management, Financial institutions, Financial markets, Market structure and pricing JEL Code(s): D, D4, D44, D47, G, G1, G12, G2, G28
The reliance of Canadians on credit card debt as a predictor of financial stress Staff Analytical Note 2024-18 Jia Qi Xiao I analyze the relationship between carrying a credit card balance and future financial stress. I find that carrying a balance significantly increases the likelihood that credit card holders miss future debt payments. This likelihood tends to rise as credit card balances grow and are held for long periods. Content Type(s): Staff research, Staff analytical notes Topic(s): Credit and credit aggregates, Financial institutions, Interest rates, Recent economic and financial developments JEL Code(s): D, D1, E, E4, E5, G, G2, G21
Could all-to-all trading improve liquidity in the Government of Canada bond market? Staff Analytical Note 2024-17 Jabir Sandhu, Rishi Vala We find that on any given day, nearly half of Government of Canada bond transactions by clients of dealers can be offset with other clients, including during the turmoil in March 2020. Our results show that under certain conditions clients could potentially trade directly with each other and are a step towards understanding the relevance of broader all-to-all trading in the Government of Canada bond market. Content Type(s): Staff research, Staff analytical notes Topic(s): Coronavirus disease (COVID-19), Financial institutions, Financial markets, Financial stability, Market structure and pricing JEL Code(s): D, D4, D47, D5, D53, G, G0, G01, G1, G12, G13, G14, G2, G21, G23
How big is cash-futures basis trading in Canada’s government bond market? Staff Analytical Note 2024-16 Andreas Uthemann, Rishi Vala Cash-futures basis trading has grown alongside the Government of Canada bond futures market. We examine this growth over time in relation to Government of Canada bond and repurchase agreement markets and provide details on the type of market participants that engage in this type of trading activity. Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Financial markets, Financial stability, Market structure and pricing JEL Code(s): D, D4, D47, D5, D53, G, G1, G12, G2, G23
Non-bank financial intermediation: Canada’s submission to the 2023 global monitoring report Staff Analytical Note 2024-15 Malcolm Fisher, Alan Walsh We share insights from Canadian data from 2002 to 2022 that the Bank of Canada collected. The Bank submits these data each year to the Financial Stability Board for inclusion in its Global Monitoring Report on Non-Bank Financial Intermediation. Content Type(s): Staff research, Staff analytical notes Topic(s): Financial institutions, Sectoral balance sheet JEL Code(s): G, G2, G21, G22, G23
Central Bank Liquidity Policy in Modern Times Staff Discussion Paper 2024-6 Skylar Brooks Across several dimensions of lender of last resort policy, I highlight broad changes that have occurred since the 2008–09 global financial crisis and discuss some of the key challenges, choices and considerations facing the designers of central bank liquidity tools today. Content Type(s): Staff research, Staff discussion papers Topic(s): Central bank research, Financial institutions, Financial markets, Financial stability, Lender of last resort JEL Code(s): D, D5, D53, E, E5, E58, E6, E61, G, G0, G01, G2, G21, G23, H, H1, H12
Assessing the Impact of the Bank of Canada’s Government Bond Purchases Staff Discussion Paper 2024-5 Chinara Azizova, Jonathan Witmer, Xu Zhang In March 2020, the Bank of Canada implemented the Government of Canada Bond Purchase Program, eventually purchasing approximately $340 billion of government bonds. In this paper, we analyze the impact of this program on financial market prices and yields as well as on GDP and inflation. Content Type(s): Staff research, Staff discussion papers Topic(s): Financial institutions, Financial markets, Financial system regulation and policies, Inflation and prices, Monetary policy, Monetary policy transmission JEL Code(s): E, E5, E52, E58, G, G2, G21, G28
Decomposing Systemic Risk: The Roles of Contagion and Common Exposures Staff Working Paper 2024-19 Grzegorz Halaj, Ruben Hipp We examine systemic risks within the Canadian banking sector, decomposing them into three contribution channels: contagion, common exposures, and idiosyncratic risk. Through a structural model, we dissect how interbank relationships and market conditions contribute to systemic risk, providing new insights for financial stability. Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Economic models, Financial institutions, Financial stability JEL Code(s): C, C3, C32, C5, C51, G, G2, G21, L, L1, L14
Digital Payments in Firm Networks: Theory of Adoption and Quantum Algorithm Staff Working Paper 2024-17 Sofia Priazhkina, Samuel Palmer, Pablo Martín-Ramiro, Román Orús, Samuel Mugel, Vladimir Skavysh We build a network formation game of firms with trade flows to study the adoption and usage of a new digital currency as an alternative to correspondent banking. Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Digital currencies and fintech, Digitalization, Economic models, Financial institutions, Payment clearing and settlement systems, Sectoral balance sheet JEL Code(s): C, C6, C7, C71, D, D4, D8, D85, G, L, L2, L22
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 Topic(s): Digital currencies and fintech, Financial institutions, Financial services, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): C, C4, C45, C5, C55, D, D8, D83, E, E4, E42