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Table 8 Relationship between PIN and new loan information

From: Bank loan information and information asymmetry in the stock market: evidence from China

Variables

PIN

1

2

3

Panel A: Relation between PIN and new loans

Intercept

0.4131***

0.3141***

0.3136***

(14.71)

(11.38)

(11.36)

New loan

\(-\) 0.0031**

  

(\(-\) 2.26)

  

New loan size

 

\(-\) 0.0050*

 
 

(\(-\) 1.75)

 

New Tbank

  

\(-\) 0.0013

  

(\(-\) 0.85)

Controls

Yes

Yes

Yes

Year \(\times\) industry-fixed effect

Yes

Yes

Yes

Firm-fixed effect

Yes

Yes

Yes

Adjusted \(R^2\)

0.0600

0.0791

0.0791

Obs.

43,525

43,525

43,525

Variables

PIN

1

2

3

4

Panel B: Relation between PIN and new overdue loans

Loan information (LI)

OL

OL rate

OL Tbank

OL Nbank

Intercept

0.4200***

0.4171***

0.4181***

0.4197***

(10.64)

(10.58)

(10.61)

(10.62)

New LI

0.0019

0.0287

0.0168

0.0022

(0.33)

(1.03)

(1.16)

(0.48)

New LI t-1

0.0032

0.0420

0.0221

0.0041

(0.44)

(1.63)

(1.16)

(0.73)

New LI t-2

\(-\) 0.0064

\(-\) 0.0212

\(-\) 0.0081

\(-\) 0.0082**

(\(-\) 1.30)

(\(-\) 0.98)

(\(-\) 0.93)

(\(-\) 2.00)

New LI t-3

\(-\) 0.0132***

\(-\) 0.0129

\(-\) 0.0219***

\(-\) 0.0094**

(\(-\) 2.79)

(\(-\) 0.67)

(\(-\) 2.64)

(\(-\) 2.08)

Controls

Yes

Yes

Yes

Yes

Year \(\times\) industry-fixed effect

Yes

Yes

Yes

Yes

Firm-fixed effect

Yes

Yes

Yes

Yes

Adjusted \(R^2\)

0.0687

0.0686

0.0687

0.0687

Obs.

26,022

26,022

26,022

26,022

  1. This table reports the OLS results of the tests on the relationships between PIN and new loan information. It represents the results of the regression: \(PIN_{i,t}=\alpha +\beta _{1}\times Positive\_loan\_information_{i,t}/Loan\_default_{i,t}+\sum \beta _{i}\times Control_{i,t}+\varepsilon _{i,t}\), where PIN is the measure for information asymmetry in the stock market. Variables of new loans in Panel A are New Loan, New Loan Size, and New Tbank. Variables of new overdue loans in Panel B are New OL, New OL rate, New OL Tbank, and New OL Nbank. The control variables in previous tables are included in the regressions, and the t-statistics reported are based on standard errors clustered by firm. Symbols *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively