Benutzer: Gast  Login
Titel:

Causal analysis of extreme risk in a network of industry portfolios

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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.
Stichworte:
Max-linear Bayesian network; causality; extreme risk propagation; financial network.
Dewey Dezimalklassifikation:
510 Mathematik
Zeitschriftentitel:
Preprint
Jahr:
2025
Jahr / Monat:
2025-04
Quartal:
2. Quartal
Monat:
Apr
Sprache:
en
Volltext / DOI:
doi:10.48550/ARXIV.2504.00523
Verlag / Institution:
arXiv
Status:
Preprint / submitted
Eingereicht (bei Zeitschrift):
01.04.2025
Semester:
WS 24-25
TUM Einrichtung:
Lehrstuhl für Mathematische Statistik
Format:
Text
 BibTeX