| 000 | 00000nam 2200000za 4500 |
| 001 | 9.816634 |
| 003 | CaOODSP |
| 005 | 20221107142307 |
| 007 | cr ||||||||||| |
| 008 | 160502s2016 oncd ob f000 0 eng d |
| 040 | |aCaOODSP|beng |
| 041 | |aeng|bfre |
| 043 | |an-cn--- |
| 086 | 1 |aFB3-5/2016-21E-PDF |
| 100 | 1 |aLi, Fuchun. |
| 245 | 10|aEarly warning of financial stress events |h[electronic resource] : |ba credit-regime-switching approach / |cby Fuchun Li and Hongyu Xiao. |
| 260 | |a[Ottawa] : |bBank of Canada, |c2016. |
| 300 | |aiii, 30 p. : |bfig., tables |
| 490 | 1 |aStaff Working Paper, |x1701-9397 ; |v2016-21 |
| 500 | |a"April 2016." |
| 504 | |aIncludes bibliographical references. |
| 520 | 3 |aWe 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. |
| 692 | 07|2gccst|aFinancial crisis |
| 692 | 07|2gccst|aForecasting |
| 692 | 07|2gccst|aStatistical analysis |
| 692 | 07|2gccst|aCredit |
| 700 | 1 |aXiao, Hongyu. |
| 710 | 2 |aBank of Canada. |
| 830 | #0|aStaff working paper (Bank of Canada)|x1701-9397 ; |v2016-21|w(CaOODSP)9.806221 |
| 856 | 40|qPDF|s428 KB|uhttps://publications.gc.ca/collections/collection_2016/banque-bank-canada/FB3-5-2016-21-eng.pdf |