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Table 4 Panel regression results of the growth in COVID-19 confirmed cases and abnormal returns

From: The impact of the COVID-19 outbreak on Chinese-listed tourism stocks

Variable

(1)

(2)

(3)

(4)

(5)

(6)

(7)

AR

AR

AR

AR

AR

AR

AR

Con

0.01062***

(3.31)

0.06563***

(2.69)

0.00527

(0.66)

 − 0.00707*

(− 1.82)

 − 0.00250

(− 0.76)

0.00336

(0.63)

0.00536

(0.51)

GRI

 − 0.00011**

(− 2.40)

 − 0.00014**

(− 2.14)

 − 0.00042***

(− 3.66)

 − 0.00002

(− 0.28)

0.00006

(1.30)

0.00016**

(2.14)

0.00044***

(2.90)

COVID-19

 − 0.03794***

(− 9.67)

 − 0.03891***

(− 6.60)

 − 0.06745***

(− 6.24)

 − 0.02006***

(− 3.83)

 − 0.00888**

(− 1.99)

 − 0.00701

(− 0.97)

 − 0.00035

(− 0.02)

Log(macp)

 − 0.00041

(− 1.39)

 − 0.01314**

(− 2.32)

0.00042

(0.67)

 − 0.00050*

(− 1.65)

 − 0.00046*

(− 1.80)

 − 0.00066

(− 1.57)

 − 0.00128

(− 1.55)

PB

0.00003***

(9.51)

 − 0.00002

(− 0.13)

0.00001

(0.47)

0.00001

(0.89)

0.00002**

(1.98)

0.00009***

(4.53)

0.00006

(1.57)

Adj./Pseudo R2

0.0233

0.0258

0.0205

0.0076

0.0068

0.0135

0.0250

N

3312

3312

3312

3312

3312

3312

3312

  1. t statistics in parentheses. *p < 0.1; **p < 0.05, and ***p < 0.01. AR denotes the abnormal returns. GRI is the government response index obtained from Oxford COVID-19 Government Response Tracker. COVID-19 represents the daily growth rate of COVID-19 confirmed cases calculated as \(\left(\left({Case}_{t}-{Case}_{t-1}\right)/{Case}_{t-1}\right)\). Logmacp is the logarithm of market capitalization. PB represents the price-to-book ratio. Columns (1) and (2) show the results of pooled OLS and fixed-effects, respectively. Columns (3)–(7) represent the quantile regression results with five quantiles q = {0.1; 0.25; 0.5; 0.75, 0.9}