We empirically investigate the effect that relationship lending has on the availability and pricing of interbank liquidity. Our analysis is based on a daily panel of unsecured overnight loans between 1,079 distinct German bank pairs from March 2006 to November 2007, a period that includes the...

We introduce a dynamic network model with probabilistic link functions that depend on stochastically time-varying parameters. We adopt the widely used blockmodel framework and allow the highdimensional vector of link probabilities to be a function of a low-dimensional set of dynamic factors. The...

We introduce a dynamic network model with probabilistic link functions that depend on stochastically time-varying parameters. We adopt the widely used blockmodel framework and allow the high-dimensional vector of link probabilities to be a function of a low-dimensional set of dynamic factors....

When firms trade forward contracts with banks to protect foreign currency cash flows against exchange rate movements, foreign exchange risk migrates to the banking sector. We show how this migrated risk may induce systemic repercussions with severe implications for the real economy. For...

We introduce a dynamic network model with probabilistic link functions that depend on stochastically time-varying parameters. We adopt the widely used blockmodel framework and allow the high-dimensional vector of link probabilities to be a function of a low-dimensional set of dynamic factors....

This paper introduces a structural micro-founded dynamic stochastic network model for the unsecured interbank lending market. Banks are profit optimizing agents subject to random liquidity shocks and can engage in costly counterparty search to find suitable trading partners and peer monitoring...