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Title:

Causal analysis of extreme risk in a network of industry portfolios

Document type:
Zeitschriftenaufsatz
Author(s):
Klüppelberg, Claudia; Krali, Mario
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 Résumé apply them to a network of financial data.
Keywords:
Max-linear Bayesian network; causality; extreme risk propagation; financial network.
Dewey Decimal Classification:
510 Mathematik
Journal title:
Preprint
Year:
2025
Year / month:
2025-04
Quarter:
2. Quartal
Month:
Apr
Language:
en
Fulltext / DOI:
doi:10.48550/ARXIV.2504.00523
Publisher:
arXiv
Status:
Preprint / submitted
Submitted:
01.04.2025
Semester:
WS 24-25
TUM Institution:
Lehrstuhl für Mathematische Statistik
Format:
Text
 BibTeX