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
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