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How to predict financial stress?: an assessment of Markov switching models

Gespeichert in:

Personen und Körperschaften: Duprey, Thibaut (VerfasserIn), Klaus, Benjamin (VerfasserIn)
Titel: How to predict financial stress?: an assessment of Markov switching models/ Thibaut Duprey, Benjamin Klaus
Format: E-Book
Sprache: Englisch
veröffentlicht:
Frankfurt am Main, Germany European Central Bank [2017]
Gesamtaufnahme: Europäische Zentralbank: Working paper series ; no 2057 (May 2017)
Schlagwörter:
Quelle: Verbunddaten SWB
Lizenzfreie Online-Ressourcen
Details
Zusammenfassung: This paper predicts phases of the financial cycle by combining a continuous financial stress measure in a Markov switching framework. The debt service ratio and property market variables signal a transition to a high financial stress regime, while economic sentiment indicators provide signals for a transition to a tranquil state. Whereas the in-sample analysis suggests that these indicators can provide an early warning signal up to several quarters prior to the respective regime change, the out-of-sample findings indicate that most of this performance is due to the data gathered during the global financial crisis. Comparing the prediction performance with a standard binary early warning model reveals that the MS model is outperforming in the vast majority of model specifications for a horizon up to three quarters prior to the onset of financial stress.
Umfang: 1 Online-Ressource (circa 47 Seiten); Illustrationen
ISBN: 9789289927796
9289927798
DOI: 10.2866/773816