Using detailed data from Canada's new high-value payment system (HVPS), we show how participants of the system save liquidity by exploiting the new gridlock resolution arrangement. These observed behaviors are consistent with the equilibrium of a "gridlock game" that captures the key incentives...

This paper explores the reliability of using prices of credit default swap contracts (CDS) as indicators of default probabilities during the 2007/2008 financial crisis. We use data from the Canadian financial system to show that these publicly available risk measures, while indicative of initial...

Merchants who accept credit cards face payment processing fees. In most countries, the no-surcharge rule prohibits them from using surcharges to pass these fees on to customers. However, merchants are allowed to steer consumers toward less costly payment methods by offering discounts or using...

This paper describes a proposal for operating a centralized netting queue for non-urgent interbank payments that involves take-it-or-leave-it offers and allocates liquidity costs using the Shapely value. This method achieves fairness and ensures welfare maximizing netting proposals are agreeable...

Should a central bank take over the provision of e-money, a circulable electronic liability? We discuss how e-money technology changes the tradeoff between public and private provision, and the tradeoff between e-money and a central bank's existing liabilities like bank notes and reserves. The...

Using detailed loan transactions-level data we examine the efficiency of an overnight interbank lending market, and the bargaining power of its participants. Our analysis relies on the equilibrium concept of the core, which imposes a set of no-arbitrage conditions on trades in the market. For...

What makes e-money more special than cash? Is the introduction of e-money necessarily welfare enhancing? Is an e-money system necessarily stable? What is the optimal way to design an efficient and stable e-money scheme? This paper provides a first attempt to develop a micro-founded, dynamic,...

Digital currencies store balances in anonymous electronic addresses. We analyze the tradeoffs between the safety and convenience of aggregating balances in addresses, electronic wallets and banks. In our model, agents balance the risk of theft of a large account with the cost to safeguarding a...

This paper uses reinforcement learning (RL) to approximate the policy rules of banks participating in a high-value payments system. The objective of the agents is to learn a policy function for the choice of amount of liquidity provided to the system at the beginning of the day. Individual...

High-value payment systems (HVPSs) are typically liquidity-intensive because the payment requests are indivisible and settled on a gross basis. Finding the right order in which payments should be processed to maximize the liquidity efficiency of these systems is an NP-hard combinatorial...