Payment clearing and settlement systems

• Improving the Efficiency of Payments Systems Using Quantum Computing

  Staff Working Paper 2022-53 Christopher McMahon, Donald McGillivray, Ajit Desai, Francisco Rivadeneyra, Jean-Paul Lam, Thomas Lo, Danica Marsden, Vladimir Skavysh

  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.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Digital currencies and fintech, Financial institutions, Financial services, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): C, C6, C61, C63, D, D8, D83, E, E4, E42, E5, E58

• Potential benefits and key risks of fiat-referenced cryptoassets

  Staff Analytical Note 2022-20 Hugh Ding, Natasha Khan, Bena Lands, Cameron MacDonald, Laura Zhao

  Cryptoassets that reference a national currency (commonly known as stablecoins) aim to peg their value to the reference currency and typically use a reserve of traditional financial assets to maintain the peg. The market value of these fiat-referenced cryptoassets has grown more than thirtyfold between early 2020 and mid-2022. We explore some of their potential benefits and key risks.

  Content Type(s): Staff research, Staff analytical notes Research Topic(s): Digital currencies and fintech, Financial institutions, Financial markets, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): E, E4, G, G2, G28, L, O, O3

• The Relative Benefits and Risks of Stablecoins as a Means of Payment: A Case Study Perspective

  Staff Discussion Paper 2022-21 Annetta Ho, Sriram Darbha, Yuliya Gorelkina, Alejandro García

  Our paper contributes to the discussion about the utility of stablecoins for retail payments through an objective, evidence-based approach that compares stablecoins with traditional retail payment methods. The paper also provides insights that could be useful in the design of central bank digital currencies.

  Content Type(s): Staff research, Staff discussion papers Research Topic(s): Digital currencies and fintech, Payment clearing and settlement systems JEL Code(s): D, D7, D78, O, O3, O38

• Grasping De(centralized) Fi(nance) Through the Lens of Economic Theory

  Staff Working Paper 2022-43 Jonathan Chiu, Charles M. Kahn, Thorsten Koeppl

  We analyze the value proposition and limitations of decentralized finance (DeFi). Based on a distributed ledger and smart contracts, DeFi can guarantee the execution of financial contracts, potentially lowering the costs of intermediation and improving financial inclusion.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Digital currencies and fintech, Payment clearing and settlement systems JEL Code(s): G, G2

• 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.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Digital currencies and fintech, Payment clearing and settlement systems JEL Code(s): D, D8, E, E4, E42, L, L1

• Cyber Risk and Security Investment

  Staff Working Paper 2022-32 Toni Ahnert, Michael Brolley, David Cimon, Ryan Riordan

  We develop a principal-agent model of cyber-attacking with fee-paying clients who delegate security decisions to financial platforms. We derive testable implications about clients’ vulnerability to cyber attacks and about the fees charged.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Financial services, Financial stability, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): D, D7, D78, D8, D81, G, G1, G18, G2, G21, G23
• May 24, 2022

  An Overview of Lynx, Canada’s High-Value Payment System

  This document provides an overview of Lynx—Canada’s high-value payment system—and summarizes the system’s design. It explains the development and purpose of Lynx as well as the legal and regulatory framework governing its operation. It also describes the various settlement mechanisms and processes Lynx uses to allow system participants to meet their diverse payment needs while ensuring that risks that arise in the system are managed appropriately.

  Content Type(s): Background materials Research Topic(s): Payment clearing and settlement systems

• 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.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial stability, Payment clearing and settlement systems JEL Code(s): C, C4, C49, E, E4, E42, E47, G, G2, G21

• 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.

  Content Type(s): Staff research, Staff discussion papers Research Topic(s): Bank notes, Digital currencies and fintech, Financial institutions, Financial services, Payment clearing and settlement systems JEL Code(s): E, E4, E41, E42, E5, G, G2, G21

• 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.

  Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C53, C55, E, E3, E37, E4, E42, E5, E52