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Risques de crédits et réalisation des objectifs stratégiques d'une banque


par Jean Claude ILUNGA
Université de Lubumbashi - Licence en économie monétaire 2018
  

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ANNEXE2: ESTIMATION DU MODELE

RENTABILITE ECONOMIQUE(ROA) Dependent Variable: X1

Method: Generalized Method of Moments

Date: 06/30/18 Time: 10:19

Sample (adjusted): 2010M02 2016M12

Included observations: 83 after adjustments

Linear estimation with 1 weight update

Estimation weighting matrix: HAC (Bartlett kernel, Newey-West fixed

bandwidth = 4.0000)

Standard errors & covariance computed using estimation weighting matrix

Instrument specification: C X3 X4 X5 X6 X7

Variable

Coefficient

Std. Error t-Statistic

Prob.

C

-0.024116

0.016638 -1.449488

0.1513

X3

-3.198643

1.518356 -2.106649

0.0384

X4

0.249023

0.122034 2.040593

0.0447

X5

0.063865

0.020855 3.062322

0.0030

X6

-4.44E+11

3.50E+10 -12.68302

0.0000

X7

-0.225203

0.056537 -3.983292

0.0002

R-squared

0.714753

Mean dependent var

-0.011065

Adjusted R-squared

0.696231

S.D. dependent var

0.241892

S.E. of regression

0.133319

Sum squared resid

1.368604

Durbin-Watson stat

2.070541

J-statistic

0.000000

Instrument rank

6

 
 

RENTABILITE FINANCIERE

Dependent Variable: X2

Method: Generalized Method of Moments Date: 06/29/18 Time: 15:00

Sample (adjusted): 2010M02 2016M12 Included observations: 83 after adjustments Linear estimation with 1 weight update

X1 = -0.0241160506597 - 3.19864336935*X3 + 0.249022535126*X4 + 0.0638652072015*X5 - 443881292326*X6 - 0.225203429327*X7

xiv

Estimation weighting matrix: HAC (Bartlett kernel, Newey-West fixed bandwidth = 4.0000)

Standard errors & covariance computed using estimation weighting matrix Instrument specification: C X3 X4 X5 X6 X7

Variable

Coefficient

Std. Error t-Statistic

Prob.

C

-0.101683

0.070151 -1.449488

0.1513

X3

-11.84588

6.402007 -1.850339

0.0681

X4

1.246352

0.514546 2.422234

0.0178

X5

0.236175

0.087934 2.685824

0.0089

X6

-1.78E+12

1.48E+11 -12.05984

0.0000

X7

-1.044383

0.238383 -4.381114

0.0000

R-squared

0.735729

Mean dependent var

-0.093444

Adjusted R-squared

0.718568

S.D. dependent var

1.059618

S.E. of regression

0.562129

Sum squared resid

24.33115

Durbin-Watson stat

2.070541

J-statistic

0.000000

Instrument rank

6

 
 

ANNEXE3: LES EQUATIONS DU MODELE

EQUATION D'ESTIMATION DU MODELE ROA Estimation Command:

GMM(INSTWGT=HAC, GMMITER=1) X1 C X3 X4 X5 X6 X7 @ C X3 X4 X5 X6 X7

Estimation Equation:

 
 
 

X1 = C (1) + C (2)*X3 + C (3)*X4

+ C (4)*X5

+ C (5)*X6

+ C (6)*X7

Forecasting Equation:

 
 
 

X1 = C (1) + C (2)*X3 + C (3)*X4

+ C (4)*X5

+ C (5)*X6

+ C (6)*X7

Substituted Coefficients:

 
 
 

xv

EQUATION D'ESTIMATION DU MODELE POUR LA ROE Estimation Command:

GMM (INSTWGT=HAC, GMMITER=1) X2 C X3 X4 X5 X6 X7 @ C X3 X4 X5 X6 X7 Estimation Equation:

X2 = C(1) + C(2)*X3 + C(3)*X4 + C(4)*X5 + C(5)*X6 + C(6)*X7 Forecasting Equation:

X2 = C (1) + C (2)*X3 + C (3)*X4 + C (4)*X5 + C (5)*X6 + C (6)*X7 Substituted Coefficients:

X2 = -0.101683053504 - 11.8458796779*X3 + 1.24635173472*X4 + 0.236174739259*X5 - 1.7796234489e+12*X6 - 1.04438301342*X7

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