Network linkages to predict bank distress

Andreea Constantin, Tuomas A. Peltonen, Peter Sarlin

Research output: Contribution to journalArticleScientificpeer-review

11 Citations (Scopus)

Abstract

Building on the literature on systemic risk and financial contagion, the paper introduces estimated network linkages into an early-warning model to predict bank distress among European banks. We use multivariate extreme value theory to estimate equity-based tail-dependence networks, whose links proxy for the markets’ view of bank interconnectedness in case of elevated financial stress. The paper finds that early warning models including estimated tail dependencies consistently outperform bank-specific benchmark models without networks. The results are robust to variation in model specification and also hold in relation to simpler benchmarks of contagion. Generally, this paper gives direct support for measures of interconnectedness in early-warning models, and moves toward a unified representation of cyclical and cross-sectional dimensions of systemic risk.
Original languageEnglish
Peer-reviewed scientific journalJournal of financial stability
Volume35
Issue numberApril
Pages (from-to)226-241
Number of pages16
ISSN1572-3089
DOIs
Publication statusPublished - 22.11.2016
MoE publication typeA1 Journal article - refereed

Keywords

  • 511 Economics
  • Bank distress
  • Bank networks
  • Systemic risk

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