Table 7.
Spline regression around the event day without Hubei Province.
Main Board |
SME/GEM |
||||||
---|---|---|---|---|---|---|---|
Coef. |
SE |
t-Stat |
Coef. |
SE |
t-Stat |
||
(×100) | (×100) | (×100) | (×100) | ||||
−2.56 | 0.75 | −3.44 | −2.69 | 0.75 | −3.58 | ||
−0.40 | 0.37 | −1.08 | 0.47 | 0.48 | 0.98 | ||
−1.18 | 0.42 | −2.81 | −0.70 | 0.50 | −1.41 | ||
0.13 | 0.30 | 0.42 | 0.56 | 0.38 | 1.47 | ||
−0.77 | 0.30 | −2.58 | −0.39 | 0.92 | −0.43 | ||
−0.43 | 0.16 | −2.68 | 0.00 | 0.22 | 0.00 | ||
−0.59 | 0.14 | −4.11 | −0.48 | 0.22 | −2.21 | ||
0.13 | 0.21 | 0.62 | −0.03 | 0.31 | −0.11 | ||
0.70 | 0.19 | 3.67 | 1.33 | 0.34 | 3.89 | ||
−0.44 | 0.38 | −1.15 | −0.71 | 0.67 | −1.06 | ||
−5.34 | 1.18 | −4.54 | −6.22 | 1.18 | −5.29 | ||
0.14 | 0.34 | 0.42 | 0.95 | 0.39 | 2.45 | ||
2.04 | 0.16 | 12.48 | 2.78 | 0.20 | 14.14 | ||
1.23 | 0.39 | 3.15 | 1.91 | 0.64 | 2.99 | ||
0.56 | 0.18 | 3.06 | 1.05 | 0.46 | 2.27 | ||
0.76 | 0.33 | 2.31 | 0.08 | 0.70 | 0.12 | ||
−0.54 | 0.31 | −1.74 | −0.85 | 0.40 | −2.14 | ||
1.11 | 0.33 | 3.42 | 1.73 | 0.46 | 3.78 | ||
−0.38 | 0.29 | −1.33 | 0.06 | 0.65 | 0.09 | ||
0.41 | 0.28 | 1.45 | 0.15 | 0.40 | 0.36 | ||
2.28 | 0.24 | 9.44 | 3.44 | 0.29 | 11.76 | ||
Industry Fixed Effect | Yes | Yes | |||||
Province Fixed Effect | Yes | Yes | |||||
Adj. R-square (%) | 2.10 | 1.45 |
Note: This table reports the spline regression results of the coefficient estimates, standard errors (SE), -statistics (t-stat) and adjusted R-square. Standard errors are grouped at the province level. The regression specification is shown in Eq. (3). We use the daily return series of Main Board firms and SME/GEM firms registered in provinces other than Hubei province. The sample period is between Dec. 2th, 2019 and Feb 23rd, 2020.