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Table 6 Regression analysis for SI_adjusted

From: Does supplier concentration matter to investors during the COVID-19 crisis: evidence from China?

Variables

R[− 1, 1]

All

R[− 2, 2]

All

R[− 1, 1]

Secondary

R[− 2, 2]

Secondary

R[− 1, 1]

All

R[− 2, 2]

All

\({R}^{^{\prime}}\)[− 1, 1]

All

\({R}^{^{\prime}}\)[− 2, 2]

All

Panel A: cumulative raw return (R) with SI_adjusted as main variable

Panel B: cumulative raw return (R) and cumulative market-adjusted return (\({R}^{^{\prime}}\)) with SI_adjusted, RevDis_dummy, and SI_adjusted x RevDis_dummy as main variables

SI_adjusted

− 0.014 **

(− 2.31)

− 0.019**

(− 2.31)

− 0.018**

(− 2.51)

− 0.023**

(− 2.25)

− 0.020**

(− 2.35)

− 0.025

(− 1.43)

− 0.024

(− 0.68)

− 0.032

(− 0.73)

 RevDis_dummy

    

0.532

(1.32)

0.412

(0.81)

0.714*

(1.89)

0.431

(1.25)

 SI_adjusted x RevDis_dummy

    

− 0.027

(− 1.44)

− 0.029

(− 1.12)

− 0.040

(− 1.17)

− 0.061

(− 1.27)

 LnAsset

1.524***

(3.76)

1.897***

(3.22)

1.679**

(2.56)

2.011**

(2.35)

1.865***

(3.79)

2.124***

(3.03)

1.898**

(2.16)

2.267

(1.65)

 BM

− 7.023***

(− 3.56)

− 6.573***

(− 3.46)

− 7.347***

(− 3.23)

− 4.259***

(− 3.25)

− 7.276***

(− 3.21)

− 6.031***

(− 3.28)

7.986***

(− 3.56)

5.147***

(− 3.33)

 Leverage

− 3.765

(0.62)

− 3.535

(0.04)

− 4.098

(0.06)

− 4.572

(− 0.67)

− 3.589

(0.61)

− 3.352

(0.05)

− 4.572

(0.09)

− 4.375

(− 0.75)

 Constant

− 3.654

(0.77)

− 2.478

(0.81)

− 2.179

(0.43)

− 2.017

(0.74)

− 3.089

(0.75)

− 2.243

(0.78)

− 2.135

(0.51)

− 1.986

(0.58)

 Location FE

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

 Observations

1965

1965

1558

1558

1965

1965

1965

1965

 R-squared

0.154

0.134

0.124

0.137

0.176

0.145

0.165

0.147

  1. Cumulative raw return (R) and cumulative market-adjusted return (\({R}^{^{\prime}}\)) as DV. All the regressions include controls variables and location fixed effects. *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively. All reported t statistics are based on standard errors adjusted for clustering at the industry level