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Serial Acquisitions, Overconfidence and Ceo’s Empire Building

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Project II:

Serial Acquisitions, Overconfidence and CEO’s Empire Building

1/ the regression estimation with the OLS

Dependent Variable: NB_ACQUISITIONS

Method: Least Squares

Date: 03/01/17   Time: 10:28

Sample: 1 712

Included observations: 633

Variable

Coefficient

Std. Error

t-Statistic

Prob.  

C

10.07546

1.498498

6.723702

0.0000

GROWTH

3.83E-05

3.07E-05

1.244547

0.2138

INSIDER

-0.010362

0.003165

-3.273848

0.0011

AVERAGE_RELATIVE_SIZE

0.037109

0.011306

3.282326

0.0011

TE_TA

0.135573

0.061296

2.211784

0.0273

SIZE

-0.545269

0.159014

-3.429061

0.0006

FIXED_ASSETS

-0.160198

0.341992

-0.468426

0.6396

FINANCE

0.288161

0.328596

0.876946

0.3809

R-squared

0.092650

    Mean dependent var

5.483412

Adjusted R-squared

0.082488

    S.D. dependent var

2.894800

S.E. of regression

2.772838

    Akaike info criterion

4.890178

Sum squared resid

4805.395

    Schwarz criterion

4.946424

Log likelihood

-1539.741

    Hannan-Quinn criter.

4.912020

F-statistic

9.117002

    Durbin-Watson stat

0.129146

Prob(F-statistic)

0.000000


2/ The evaluation of the explanatory power of the model:

According to the regression estimation with the OLS, we have the Adjusted R-square equal to 0.082488, which means that, with our explanatory variables we succeeded to explain 8.25% of our dependent variable (Number of acquisition)

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