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1725-2806 (online) EU Catalogue NoQB-AR-13-094-EN-N (online)Any reproduction, publication and reprint in the form of a different publication, whether printed or produced electronically, in whole or in part, is permitted only with the explicit written authorisation of the ECB or the authors. The refereeing process of this paper has been coordinated by a team composed of Gerhard Rünstler, Kalin Nikolov and Bernd Schwaab (all ECB).The paper is released in order to make the research of MaRs generally available, in preliminary form, to encourage comments and suggestions prior to final publication. The views expressed in the paper are the ones of the author(s) and do not necessarily reflect those of the ECB or of the ESCB.
AcknowledgementsThe authors want to thank Riina Vesanen for excellent research assistance and colleagues at the ECB,
Non-technical summaryThe global financial crisis has had a significant impact on the health of the European banking system and on the soundness of individual banks. Beyond the direct bailout costs and output losses, the interplay of fiscally strained sovereigns and weak banking systems that characterize the ongoing sovereign debt crisis show the importance of the euro area banking sector for the stability of the entire European Monetary Union. The motivation for an early-warning model for European banks is thus clear.To derive an early-warning model for European banks, this paper introduces a novel dataset of bank distress events. As bank defaults are rare in Europe, the data set complements bankruptcies, liquidations and defaults by also taking into account state interventions, and mergers in distress. State interventions comprise capital injections and asset reliefs (asset protection and guarantees). A distressed merger occurs if (i) a parent receives state aid within 12 months after the merger or (ii) if a merged entity has a coverage ratio (capital equity and loan reserves minus non-performing loans to total assets) smaller than 0 within 12 months before the merger.The outbreak of a financial crisis is known to be difficult to predict (e.g. Rose and Spiegel, 2011). Recently, the early-warning literature has therefore focused on detecting underlying vulnerabilities, and finding common patterns preceding financial crises (e.g. Reinhart and Rogoff, The models are estimated to derive probabilities of banks being in vulnerable states, but a policy maker needs to know when to act. Following Sarlin (2013), the signals of the model are evaluated taking into account the policymaker's preferences between type I and type II errors, the uneven frequency of tranquil and distress events, and the systemic relevance of each bank.This paper presents the first application of the evaluation framework t...