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...

A well-functioning monetary system is characterized by public and private forms of money that exchange at par as value flows freely between them. This is essential for efficient transacting and contracting in a market economy. A relevant retail public money - whether in the form of cash, a...

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...

We present a policy framework for electronic money and payments. The framework poses a set of positive questions related to the areas of responsibility of central banks: payments systems, monetary policy and financial stability. The questions are posed to four broad forms of e-money: privately...

We investigate the risks and opportunities to the mandates of central banks arising from fintech developments. Fintech may affect the different areas of responsibility of central banks - mainly monetary policy and financial stability - by changing money demand and by changing the industrial...

This paper presents simulation results for Canada's new large-value payments system: Lynx. We simulate the settlement process of Lynx using a large sample of payments observed in the current system (LVTS), taking the initial level of liquidity as given. We calculate the resulting liquidity...

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...

We investigate the risks and opportunities to the mandates of central banks arising from fintech developments. Fintech may affect the different areas of responsibility of central banks - mainly monetary policy and financial stability - by changing money demand and by changing the industrial...

We present a policy framework for electronic money and payments. The framework poses a set of positive questions related to the areas of responsibility of central banks: payments systems, monetary policy and financial stability. The questions are posed to four broad forms of e-money: privately...