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93 Results

Simulating Intraday Transactions in the Canadian Retail Batch System

Staff Working Paper 2023-1 Nellie Zhang
This paper proposes a unique approach to simulate intraday transactions in the Canadian retail payments batch system when such transactions are unobtainable. The simulation procedure has potential for helping with data-deficient problems where only high-level aggregate information is available.

Improving the Efficiency of Payments Systems Using Quantum Computing

We develop an algorithm and run it on a hybrid quantum annealing solver to find an ordering of payments that reduces the amount of system liquidity necessary without substantially increasing payment delays.

Regulatory Requirements of Banks and Arbitrage in the Post-Crisis Federal Funds Market

Staff Working Paper 2022-48 Rodney J. Garratt, Sofia Priazhkina
This paper explains the nature of interest rates in the U.S. federal funds market after the 2007-09 financial crisis. We build a model of the over-the-counter lending market that incorporates new aspects of the financial system: abundance of liquidity, different regulatory standards for banks, and arbitrage opportunities created by limited access to the facility granting interest on excess reserves.

Stablecoins and Their Risks to Financial Stability

Staff Discussion Paper 2022-20 Cameron MacDonald, Laura Zhao
What risks could stablecoins pose to the financial system? We argue that the stabilization mechanisms of stablecoins give rise to the risk of confidence runs, which can propagate to broader cryptoasset markets and the traditional financial sector. We also argue that stablecoins can contribute to financial stability risks by facilitating the buildup of leverage and liquidity mismatch in decentralized finance. Such risks cannot be addressed by ensuring the price stability of stablecoins alone. Finally, we explore the potential implications of stablecoins for the current system of bank-intermediated credit and for monetary policy.

Archetypes for a retail CBDC

Staff Analytical Note 2022-14 Sriram Darbha
A variety of technology designs could support retail central bank digital currency (CBDC) systems. We develop five archetypes of CBDC systems, outline their characteristics and discuss their trade-offs. This work serves as a framework to analyze and compare different designs, independent of vendor, platform and implementation.

PayTech and the D(ata) N(etwork) A(ctivities) of BigTech Platforms

Staff Working Paper 2022-35 Jonathan Chiu, Thorsten Koeppl
Why do BigTech platforms introduce payment services? We explore this using a model in which a monopoly platform faces a trade-off between the costs associated with privacy concerns and the revenue from data services. We then analyze the feedback effects between data and payments.

Transmission of Cyber Risk Through the Canadian Wholesale Payment System

Staff Working Paper 2022-23 Anneke Kosse, Zhentong Lu
This paper studies how the impact of a cyber attack that paralyzes one or multiple banks' ability to send payments would transmit to other banks through the Canadian wholesale payment system. Based on historical payment data, we simulate a wide range of scenarios and evaluate the total payment disruption in the system.

Identifying Financially Remote First Nations Reserves

Staff Discussion Paper 2022-11 Heng Chen, Walter Engert, Kim Huynh, Daneal O’Habib
Chen et al. (2021) show that almost one-third of First Nations band offices in Canada are within 1 kilometre (km) of an automated banking machine (ABM) or financial institution (FI) branch and more than half are within 5 km.

Equilibrium in Two-Sided Markets for Payments: Consumer Awareness and the Welfare Cost of the Interchange Fee

Staff Working Paper 2022-15 Kim Huynh, Gradon Nicholls, Oleksandr Shcherbakov
We construct and estimate a structural two-stage model of equilibrium in a market for payments in order to quantify the network externalities and identify the main determinants of consumer and merchant decisions.

Macroeconomic Predictions Using Payments Data and Machine Learning

Staff Working Paper 2022-10 James Chapman, Ajit Desai
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.
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