• Media type: E-Book
  • Title: How to Predict Financial Stress? An Assessment of Markov Switching Models
  • Contributor: Duprey, Thibaut [Author]; Klaus, Benjamin [Other]
  • imprint: [S.l.]: SSRN, [2017]
  • Published in: ECB Working Paper ; No. 2057
  • Extent: 1 Online-Ressource (47 p)
  • Language: English
  • DOI: 10.2139/ssrn.2968981
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments May 8, 2017 erstellt
  • Description: 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
  • Access State: Open Access