Given a financial network of liabilities, we consider the following question: which agent’s potential default would implicate the most number of agents in the network structure? Sim-ply comparing each agent’s total debt completely ignores the structure of the network. For propagation effects of a potential default, owing to a creditor who does not owe anybody and owing to a creditor who is heavily in debt himself clearly do not have the same implications even when the amount owed is the same. The liability network structure must be taken into account in order to capture downstream effects. We propose a general notion which addresses this issue quantitatively. Our notion yields a ranking of all agents in the network in terms of severity of d...
We explore the dynamics of default cascades in a network of credit interlink-ages in which each agen...
Financial networks have shown to be important in understanding systemic events in credit markets. In...
Financial networks have shown to be important in understanding systemic events in credit markets. In...
In this paper, we present a computing procedure to analyze a network of credit and debt among agents...
This thesis extends the literature of systemic risk in financial networks in two directions. First, ...
The DebtRank algorithm has been increasingly investigated as a method to estimate the impact of shoc...
The DebtRank algorithm has been increasingly investigated as a method to estimate the impact of shoc...
Use of network theory made possible to measure quantitatively many features of social and technologi...
[eng] Systemic risk refers to the possibility that the failure of a financial institution spreads t...
Financial institutions form multilayer networks by engaging in contracts with each other and by hold...
In recent years, an increased effort has been made to further the development of effective stress te...
Agents in financial networks can simultaneously be both creditors and debtors, creating the possibil...
Financial institutions form multi-layer networks of contracts among each other and exposures to comm...
© 2016 INFORMS.The objective of this study is to develop a majorization-based tool to compare financ...
Summary. We consider default by firms that are part of a single clearing mechanism. The obliga-tions...
We explore the dynamics of default cascades in a network of credit interlink-ages in which each agen...
Financial networks have shown to be important in understanding systemic events in credit markets. In...
Financial networks have shown to be important in understanding systemic events in credit markets. In...
In this paper, we present a computing procedure to analyze a network of credit and debt among agents...
This thesis extends the literature of systemic risk in financial networks in two directions. First, ...
The DebtRank algorithm has been increasingly investigated as a method to estimate the impact of shoc...
The DebtRank algorithm has been increasingly investigated as a method to estimate the impact of shoc...
Use of network theory made possible to measure quantitatively many features of social and technologi...
[eng] Systemic risk refers to the possibility that the failure of a financial institution spreads t...
Financial institutions form multilayer networks by engaging in contracts with each other and by hold...
In recent years, an increased effort has been made to further the development of effective stress te...
Agents in financial networks can simultaneously be both creditors and debtors, creating the possibil...
Financial institutions form multi-layer networks of contracts among each other and exposures to comm...
© 2016 INFORMS.The objective of this study is to develop a majorization-based tool to compare financ...
Summary. We consider default by firms that are part of a single clearing mechanism. The obliga-tions...
We explore the dynamics of default cascades in a network of credit interlink-ages in which each agen...
Financial networks have shown to be important in understanding systemic events in credit markets. In...
Financial networks have shown to be important in understanding systemic events in credit markets. In...