We use an information-theoretic approach to describe changes in lending relationships between federal funds market participants around the time of the Lehman Brothers failure. Unlike previous work that conducts maximum-likelihood estimation on undirected networks, our analysis distinguishes...

The recent turmoil in global financial markets underscores the importance of the federal funds market as a means of distributing liquidity throughout the financial system and a tool for implementing monetary policy. In this paper, we explore the network topology of the federal funds market. We...

We develop a parsimonious model of the interbank payment system to study congestion and the role of liquidity markets in alleviating congestion. The model incorporates an endogenous instruction arrival process, scale-free topology of payments between banks, fixed total liquidity that limits...

We examine the diffusion of real-time gross settlement (RTGS) technology across all 174 central banks. RTGS reduces settlement risk and facilitates financial innovation in the settlement of foreign exchange trades. In 1985, only three central banks had implemented RTGS systems, and by year-end...

The Federal Home Loan Bank (FHLB) System is a large, complex, and understudied government-sponsored liquidity facility that currently has more than $1 trillion in secured loans outstanding, mostly to commercial banks and thrifts. In this paper, we document the significant role played by the FHLB...

To combat the financial crisis that intensified in the fall of 2008, the Federal Reserve injected a substantial amount of liquidity into the banking system. The resulting increase in reserve balances exerted downward price pressure in the federal funds market, and the effective federal funds...

Recently, economists have argued that a bank's importance within the financial system depends not only on its individual characteristics but also on its position within the banking network. A bank is deemed to be "central" if, based on our network analysis, it is predicted to hold the most...