Research Article
Analysis of Multiple Structural Changes in Financial Contagion Based on the Largest Lyapunov Exponents
Table 1
Estimate results with the multiple structural changes model.
| Specifications | | zt={1} | q=1 | p=0 | h=303 | M=5 | ε=0.15 | T=2019 | | Tests | | SupFT(1) | SupFT(2) | SupFT(3) | SupFT(4) | SupFT(5) | UDmax | WDmax | | 1.4735 | 8.286* | 11.7107* | 18.8166* | 13.0529* | 18.8166* | 18.8166* | | SupFT(2∣1) | SupFT(3∣2) | SupFT(4∣3) | SupFT(5∣4) | | | | | 20.8615* | 10.1503* | 0 | 0 | | | | | Number of breaks selected | | Number of breaks | 0 | 1 | 2 | 3 | 4 | 5 | BIC | 10.3216 | 10.0755 | 9.3698 | 9.0284 | 8.7457 | 8.8352 | LWZ | 10.3221 | 10.0904 | 9.3993 | 9.0723 | 8.8041 | 8.9081 | | Estimates with three breaks | | δ^ | δ^ | δ^ | δ^ | δ^ | | | | 1239.26 | 1413.78 | 936.1 | 1147.23 | 1324.82 | | | (30.5036) | (41.1877) | (41.9042) | (83.8616) | (41.2039) | | | | T^ | T^ | T^ | T^ | | | | | 2006/9/25 | 2008/9/12 | 2009/11/23 | 2011/2/1 | | | |
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*Significance at the 5% level. |