Arbeitspapier

How to predict financial stress? An assessment of Markov switching models

This paper predicts phases of the financial cycle by using 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 owing to the data gathered during the global financial crisis. Comparing the prediction performance with a standard binary early warning model reveals that the Markov switching model is outperforming the vast majority of model specifications for a horizon up to three quarters prior to the onset of financial stress.

Sprache
Englisch

Erschienen in
Series: Bank of Canada Staff Working Paper ; No. 2017-32

Klassifikation
Wirtschaft
Quantitative Policy Modeling
Financial Crises
International Financial Markets
Thema
Business fluctuations and cycles
Central bank research
Econometric and statistical methods
Financial markets
Financial stability
Financial system regulation and policies
Monetary and financial indicators

Ereignis
Geistige Schöpfung
(wer)
Duprey, Thibaut
Klaus, Benjamin
Ereignis
Veröffentlichung
(wer)
Bank of Canada
(wo)
Ottawa
(wann)
2017

DOI
doi:10.34989/swp-2017-32
Handle
Letzte Aktualisierung
20.09.2024, 08:23 MESZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Duprey, Thibaut
  • Klaus, Benjamin
  • Bank of Canada

Entstanden

  • 2017

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