Table 5

Estimated breaking regressions using Eq. (2), where Zt = Tt

DescriptionCQQQFXIGXCMCHI
CoeffSEtCoeffSEtCoeffSEtCoeffSEt
Regime 1Tt ≤ 2020M1, n = 106Tt ≤ 2020M1, n = 106Tt ≤ 2020M1, n = 106Tt ≤ 2020M1, n = 106
  β11.6170.13412.101.3190.11311.641.3970.10613.211.3560.10113.44
Regime 2Tt > 2020M1, n = 46Tt > 2020M1, n = 46Tt > 2020M1, n = 46Tt > 2020M1, n = 46
  β20.6550.1823.600.4140.1942.130.4570.1762.600.4490.1922.34
Dummies (Dt)            
January0.0290.0132.190.0120.0150.800.0130.0131.030.0140.0131.10
February−0.0090.014−0.69−0.0320.012−2.69−0.0200.010−1.98−0.0210.011−1.99
March−0.0310.024−1.27−0.0190.016−1.19−0.0200.015−1.33−0.0190.016−1.22
April−0.0150.015−1.01−0.0090.013−0.68−0.0080.012−0.66−0.0040.013−0.33
May−0.0010.017−0.06−0.0100.010−0.97−0.0060.010−0.60−0.0080.011−0.76
June0.0160.0180.86−0.0090.012−0.700.0020.0120.210.0010.0130.07
July−0.0340.024−1.40−0.0170.023−0.76−0.0180.022−0.81−0.0170.023−0.77
August0.0060.0180.34−0.0070.013−0.58−0.0060.013−0.41−0.0070.013−0.53
September−0.0100.017−0.61−0.0160.012−1.30−0.0120.012−0.97−0.0120.012−1.01
October−0.0080.017−0.46−0.0080.021−0.36−0.0070.017−0.42−0.0100.019−0.53
November0.0120.0170.690.0160.0210.760.0150.0170.840.0150.0200.75
December−0.0100.015−0.65−0.0050.014−0.35−0.0040.011−0.40−0.0010.012−0.10
R20.462  0.412  0.485  0.443  
Adjusted R20.412  0.356  0.437  0.391  
DW1.75  2.36  2.14  2.17  
AIK−2.595  −2.834  −3.045  −2.924  
SIC−2.316  −2.556  −2.767  −2.644  
HQC−2.482  −2.721  −2.932  −2.810  

Note(s): This table shows a significant shift in the betas of the four Chinese ETFs before and after January 2020. Prior to this date, the betas were relatively high, indicating stronger alignment with global market trends. However, following the onset of COVID-19, the betas dropped substantially, reflecting reduced sensitivity to global market movements. This suggests that heightened uncertainty and instability in the post-COVID period significantly dampened the co-movement between these ETFs and the global market

Source(s): The authors’ estimation

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