Research Article

New JLS-Factor Model versus the Standard JLS Model: A Case Study on Chinese Stock Bubbles

Table 6

The significance test results of the new and the original JLS model for the SZSC bubbles.

Independent variable2005/7/11–2008/10/172008/11/3–2009/8/312014/3/13–2015/7/29
JLS modelNew JLS modelJLS modelNew JLS modelJLS modelNew JLS model

18490.6220234.732827.7234643.54217060.4728286.88
(79.333)(65.072)(61.104)(24.763)(184.250)(49.029)
−7103.479−8099.557−879.179−3427.315−10429.75−19848.04
(−23.023)(−29.957)(−10.349)(−15.398)(−78.527)(−41.031)
6244.9766196.875−0.519−154.527−1126.786−1288.108
(52.350)(57.204)(−48.751)(−12.533)(−14.849)(−17.401)
3.127−1.63950.255
(1.095)(−0.941)(4.384)
1.877−0.192−5.513
(2.234)(−0.686)(−3.137)
5.347−0.34914.983
(3.076)(−0.204)(3.927)
−39.3790.685−98.284
(−11.916)(0.734)(−9.908)
796796340340340340
0.9780.9870.9130.9840.9510.979
F-statistic17954.8910329.401782.5212089.2893271.2772673.850
AIC16.17415.64314.67511.06715.90215.046
SC16.19215.68414.70911.18015.93615.125
HQC16.18115.65814.68911.11315.91615.078

The regression coefficients, adjusted -squares (), and three statistical criteria are presented. The t-statistics are reported in the parentheses. Significance at the 10% confidence level. Significance at the 5% confidence level. Significance at the 1% confidence level.