Causal analysis of extreme risk in a network of industry portfolios
Claudia Kl\"uppelberg and
Mario Krali
Papers from arXiv.org
Abstract:
We present a methodology for causal risk analysis in a network. Causal dependence is formulated by a max-linear structural equation model, which expresses each node variable as a max-linear function of its parental node variables in a directed acyclic graph and some exogenous innovation. We determine directed~paths~responsible~for extreme risk propagation in the network. We give algorithms for structure learning and parameter estimation and apply them to a network of financial data.
Date: 2025-04
References: Add references at CitEc
Citations:
Downloads: (external link)
http://arxiv.org/pdf/2504.00523 Latest version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2504.00523
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().