For an intermediated central bank digital currency (CBDC) to be successful, central banks will need to develop sustainable economic models where intermediaries and end users derive value and central banks achieve their policy goals. This note presents a framework for analyzing different economic...

In this paper we discuss the competition and innovation arguments for issuing a central bank digital currency (CBDC). A CBDC could be an effective competition policy tool for payments. On innovation, we argue that a CBDC could be necessary to support the vibrancy of the digital economy by...

To what extent does a central bank digital currency (CBDC) compete with bank deposits? To answer this question, we develop and estimate a structural model where each household chooses which financial institution to deposit their digital money with. Households value the interest paid on digital...

We review the nascent but fast-growing literature on central bank digital currencies (CBDCs), focusing on their potential impacts on private banks. We evaluate these impacts in three areas of traditional banking: payments, lending, and liquidity and maturity transformation. For each area, we...

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...

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...

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...