Arbeitspapier

Early warning of financial stress events: A credit-regime-switching approach

We propose an early warning model for predicting the likelihood of a financial stress event for a given future time, and examine whether credit plays an important role in the model as a non-linear propagator of shocks. This propagation takes the form of a threshold regression in which a regime change occurs if credit conditions cross a critical threshold. The in-sample and out-of-sample forecasting performances are encouraging. In particular, the out-of-sample forecasting results suggest that the model based on the credit-regime-switching approach outperforms the benchmark models based on a linear regression and signal extraction approach across all forecasting horizons and all criteria considered.

Sprache
Englisch

Erschienen in
Series: Bank of Canada Staff Working Paper ; No. 2016-21

Klassifikation
Wirtschaft
Hypothesis Testing: General
Semiparametric and Nonparametric Methods: General
Financial Crises
Financial Forecasting and Simulation
Thema
Financial stability
Econometric and statistical methods

Ereignis
Geistige Schöpfung
(wer)
Li, Fuchun
Xiao, Hongyu
Ereignis
Veröffentlichung
(wer)
Bank of Canada
(wo)
Ottawa
(wann)
2016

DOI
doi:10.34989/swp-2016-21
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

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

  • Li, Fuchun
  • Xiao, Hongyu
  • Bank of Canada

Entstanden

  • 2016

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