← Search

Data · collection · 2015

Systemic Risk Components in a Network Model of Contagion

Listed in DataCite

We show how to do systemic risk attribution in a network model of contagion with interlocking balance sheets, using the Shapley and Aumann-Shapley values.

Description

Along the way, we establish new results on sensitivity analysis of the Eisenberg-Noe network model of contagion, featuring a Markov-chain interpretation. We illustrate the design process for systemic risk attribution methods by developing several of them.

Links

Topics

Stated by source
Clinical medicine · Mathematics

Related

Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.c.2166884.v115 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
concepts[field].fos:clinical-medicinesource · DataCiteconnector:datacite@1.0.0
concepts[field].fos:mathematicssource · DataCiteconnector:datacite@1.0.0
concepts[field].local:field:life-sciencesmapping · DataCitevocabulary-mapper@1.0.0keywords['Biological Sciences']
concepts[field].local:field:mathematics-statisticsmapping · DataCitevocabulary-mapper@1.0.0keywords['Mathematics']
created_datesource · DataCiteconnector:datacite@1.0.0
descriptionsource · DataCiteconnector:datacite@1.0.0/data/attributes/descriptions
licensesource · DataCiteconnector:datacite@1.0.0/data/attributes/rightsList
publication_datesource · DataCiteconnector:datacite@1.0.0/data/attributes/dates
titlesource · DataCiteconnector:datacite@1.0.0/data/attributes/titles/0/title
updated_datesource · DataCiteconnector:datacite@1.0.0