Research Article
Analysis of Multiple Structural Changes in Financial Contagion Based on the Largest Lyapunov Exponents
Table 4
Estimate results with the modified multiple structural changes model.
| Specifications | | zt={1} | q=1 | p=0 | h=258 | M=5 | ε=0.15 | T=1720 | | Tests | | SupFT(1) | SupFT(2) | SupFT(3) | SupFT(4) | SupFT(5) | UDmax | WDmax | | 0.7920 | 1.3747 | 0.626 | 0.5655 | 5.1954* | 5.1954 | 5.1954 | | SupFT(2∣1) | SupFT(3∣2) | SupFT(4∣3) | SupFT(5∣4) | | | | | 0.6364 | 0.6063 | 0.6038 | 0 | | | | | Number of breaks selected | | Number of breaks | 0 | 1 | 2 | 3 | 4 | 5 | BIC | −2.3577 | −2.4653 | −2.5376 | −2.6155 | −2.6994 | −2.6781 | LWZ | −2.3571 | −2.4486 | −2.5048 | −2.5666 | −2.6345 | −2.597 | | Estimates with three breaks | | δ^1 | δ^2 | δ^3 | δ^4 | δ^5 | | | | 1241.55 | 1415.60 | 913.07 | 1169.42 | 1325.19 | | | (0.0366) | (0.5211) | (0.2213) | (0.2971) | (0.1533) | | | | T^1 | T^2 | T^3 | T^4 | | | | | 2006/10/9 | 2008/9/11 | 2009/9/18 | 2011/5/18 | | | |
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*Significance at the 5% level. |