We characterize the evolution over time of a network of credit relations among financial agents as a system of coupled stochastic processes. Each process describes the dynamics of individual financial robustness, while the coupling results from a network of liabilities among agents. The average...

In this paper we propose an Open Economy Financial Accelerator model along the lines of Greenwald-Stiglitz (1993) close in spirit but different in many respects from the one proposed by Greenwald (1998.) The first goal of the paper is to provide a taxonomy of the effects of a devaluation in this...

We explore the properties of a credit network characterized by inside credit - i.e. credit relationships connecting downstream (D) and upstream (U) firms - and outside credit - i.e. credit relationships connecting firms and banks. The structure of the network changes over time due to the...

The recent financial crisis poses the challenge to understand how systemic risk arises endogenously and what architecture can make the financial system more resilient to global crises. This paper shows that a financial network can be most resilient for intermediate levels of risk...

In this paper we propose an interpretation of the current Global Financial Crisis which emphasizes sectoral dislocation following localized technical change in the presence of barriers to labor mobility. This tale is reminiscent of a similar tale concerning the Great Depression. In the 30s...

We explore the dynamics of default cascades in a network of credit interlink-ages in which each agent is at the same time a borrower and a lender. When some counterparties of an agent default, the loss she experiences amounts to her total exposure to those counterparties. A possible conjecture...

We model a network economy with three sectors: downstream firms, upstream firms, and banks. Agents are linked by productive and credit relationships so that the behavior of one agent influences the behavior of the others through network connections. Credit interlinkages among agents are a source...