Table 3

CARs for sample firms affected by the RUW

nMean (%)t-statisticMedian (%)Z-statisticAR < 0 (%)
Panel A: total sample for CAR [0, 13]
All sample firms837−6.16***−4.07−4.73***−15.4272.75
Automobiles123−4.92**−2.37−5.67***−6.0573.77
Automobile components714−6.38***−3.98−4.32***−14.1772.58
Panel B: alternative event windows
CAR [0, 1]837−0.76−1.33−0.76***−8.5064.76
CAR [0, 5]837−1.90*−1.92−1.18***−8.8263.34
CAR [0, 10]837−4.77***−3.55−4.44***−14.5672.24
CAR [0, 20]837−4.57***−2.46−4.51***−12.4468.33
Panel C: alternative models for CAR [0, 13]
Prior-10-daya837−5.21***−3.44−3.63***−11.2865.11
Mean-adjusted model837−7.77***−4.03−6.06***−16.9774.79
Four factor modelb837−4.21***−2.79−3.81***−12.4868.65
GARCH model837−4.13***−9.00−2.75***−9.6060.93
Panel D: CAR [0, 13] based on regionsc
Asia619−6.48***−3.39−4.8***−13.2472.73
Europe68−9.05***−3.89−8.04***−5.8580.88
North America501.310.27−1.57−0.7856.00
Others100−5.91***−3.21−4.03***−6.7882.00

Note(s): The z-statistics are obtained from Wilcoxon signed rank tests; AR < 0 (%) presents negative abnormal returns;

a

We used prior-10-day average market returns from Equation (1),

b

Due to lack of availability of country-wide Fama-French factors, we use the developed markets’ factors for size, value and momentum from the Kenneth French data library;

c

Scheffé test shows no significant difference in CARs among Europe, Asia, and Other regions, but a significant difference between North America and the other three regions (p < 0.01); *p < 0.10,**p < 0.05,***p < 0.01

Source(s): Authors’ own creation

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