Nghiên cứu các nhân tố tác động đến thị trường nợ xấu tại Việt Nam - 22


Classification Tablea


Observed

Predicted


VAR00041

Percentage Correct


1.00

2.00


Step 1

1.00

VAR00041

2.00

Overall Percentage

309

16

95.1

58

38

39.6



87.4

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Nghiên cứu các nhân tố tác động đến thị trường nợ xấu tại Việt Nam - 22

a. The cut value is .500


Variables in the Equation


B

S.E.

Wald

df

Sig.

Exp(B)

95% C.I.for

EXP(B)

Lower

Upper


P1

-.468

.087

28.643

1

.000

.627

.030

2.397


VAR0002

-.312

.311

1.002

1

.031

.732

.231

1.863


VAR0003

.313

.294

1.133

1

.028

1.367

.355

4.382


VAR0004

-.142

.300

.224

1

.063

.868

.347

4.127


VAR0005

.134

.222

.363

1

.547

1.143

.231

1.863


VAR0006

.829

.241

11.841

1

.001

2.291

.828

6.062


VAR0008

1.410

.351

16.129

1

.000

4.095

.272

1.608


VAR0009

.221

.303

.533

1

.465

1.248

.000

3.012.


VAR0010

.519

.354

2.149

1

.014

1.680

.251

2.375


VAR0011

-.650

.245

7.063

1

.008

.522

.509

3.012


VAR0012

.085

.266

.102

1

.749

1.089

.272

1.608


VAR0013

-.122

.246

.246

1

.620

.885

.040

1.361


VAR0014

-.298

.197

2.290

1

.013

.743

.197

6.823

Step 1a

VAR0015

.318

.229

1.927

1

.016

1.375

.059

2.143


VAR0016

-.103

.215

.231

1

.063

.902

.040

1.361


VAR0017

-.011

.235

.002

1

.961

.989

.044

1.626


VAR0018

-.574

.223

6.611

1

.010

.563

.033

.758


VAR0019

-.100

.197

.260

1

.610

.904

.128

1.655


VAR0020

-.103

.193

.287

1

.059

.902

.128

1.682


VAR0021

.009

.166

.003

1

.957

1.009

.071

1.339


VAR0022

-.127

.171

.556

1

.045

.880

.145

2.682


VAR0044

2.143

.928

5.337

1

.021

8.524

.070

18.715


VAR0045

-3.138

1.501

4.367

1

.037

.043

.029

.887


VAR0046

6.641

2.874

5.341

1

.021

766.009

.033

.758


VAR0047

-.827

.776

1.136

1

.028

.438

.031

.693


VAR0048

1.241

.458

7.348

1

.007

3.460

.066

2.088


VAR0049

.163

.098

2.761

1

097

1.178

.031

.693



VAR0050

.185

.111

2.808

1

.094

1.204

.014

11.466

VAR0051

.123

.116

1.122

1

.029

1.131

.070

18.715

VAR0052

.027

.087

.100

1

.752

1.028

.242

55.699

VAR0053

-.349

.119

8.632

1

.003

.705

.093

1.905

VAR0054

.131

.100

1.714

1

.019

1.140

.093

1.905

VAR0055

.086

.123

.493

1

.048

1.090

.036

.880

VAR0056

.167

.147

1.283

1

.,025

1.181

.068

1.293

VAR0057

-.340

.124

7.523

1

.006

.711

.093

1.905

VAR0058

-.285

.120

5.613

1

.018

.752

.124

4.115

VAR0059

-.224

.161

1.942

1

.016

.799

.055

3.229

VAR0060

-.546

.813

.450

1

.050

.579

.087

6.918

VAR0061

.587

1.204

.238

1

.626

1.798

.064

3.780

VAR0062

-.317

2.212

.021

1

.088

.728

.093

1.905

VAR0063

-.281

.745

.142

1

.070

.755

.087

6.918

VAR0064

.111

.426

.067

1

.795

1.117

.064

3.780

VAR0065

-.888

.193

21.279

1

.000

.411

.055

3.229

VAR0066

24.622

13.178

3.491

1

.062

4.9E+11

.064

3.780

VAR0067

-.591

.164

12.972

1

.000

.554

.153

9.216

VAR0068

-.085

.101

.704

1

.040

.918

.087

6.918

VAR0069

.162

.208

.611

1

.434

1.176

.463

53.654

VAR0070

-.277

.248

1.246

1

.026

.758

.434

52.114

VAR0071

-.663

.515

1.658

1

.198

.515

.728

76.822

VAR0072

-1.660

.585

8.058

1

.005

.190

.463

53.654

Constant

-11.232

13.163

.728

1

.393

.000

.315

53.507


Các nhân tố tác động đến phúc lợi trên thị trường mua bán nợ xấu

Model Fitting Information

Model

Model Fitting Criteria

Likelihood Ratio Tests

-2 Log

Likelihood

Chi-

Square

Df

Sig.

Intercept Only Final

137.207

486.613

116

.000


Pseudo R-Square

Cox and Snell Nagelkerke

McFadden

.683

.735

.433


Likelihood Ratio Tests

Effect

Model Fitting Criteria

Likelihood

Ratio

Tests

-2 Log Likelihood

of Reduced Model

Chi-Square

df

Sig.

Intercept

-25.980

17.402

1

.000

VAR0002

-.173

13.059

1

.470

VAR0003

.322

20.276

1

.031

VAR0004

.684

19.364

1

.032

VAR0005

-.613

19.861

1

.011

VAR0006

.671

7.740

1

.000

VAR0008

1.068

9.991

1

.000

VAR0009

.809

3.926

1

.000

VAR0010

.175

14.119

1

.600

VAR0011

-.273

4.703

1

.021

VAR0012

-.204

5.596

1

.473

VAR0013

-.233

2.100

1

.487

VAR0014

.734

2.339

1

.009

VAR0015

.394

7.758

1

.013

VAR0016

.284

2.487

1

.019

VAR0017

.693

19.861

1

.027

VAR0018

-.181

7.740

1

.501

VAR0019

.472

7.758

1

.041

VAR0020

-.023

5.596

1

.913

VAR0021

.193

2.100

1

.033

VAR0022

.173

2.339

1

.375

VAR0065

-.075

7.758

1

.622

VAR0066

34.708

9.991

1

.000

VAR0067

-.114

3.926

1

.024

VAR0068

-.161

14.119

1

.077

VAR0069

-.364

4.703

1

.010

VAR0070

.603

4.703

1

.010

VAR0071

-.587

5.596

1

.033

VAR0072

-1.459

2.100

1

.014

The chi-square statistic is the difference in -2 log-likelihoods between the final model and a reduced model. The reduced model is formed by omitting an effect from the final model. The null hypothesis is that all parameters of that effect are 0.



Parameter Estimates


VAR00073a


B


Std. Error


Wald


df


Sig.


Exp(B)

95% Confidence

Interval for Exp(B)

Lower

Bound

Upper

Bound

1.00

Intercept

-25.98

7.632

11.579

1

.001





VAR0002

-.167

.244

.513

1

.466

.840

.342

.817


VAR0003

.323

.307

1.026

1

.032

1.383

.427

1.013


VAR0004

.676

.324

4.334

1

.032

1.976

.514

1.120


VAR0005

-.614

.254

5.934

1

.011

.544

.927

2.137


VAR0006

.671

.253

7.124

1

.000

1.957

.415

1.661


VAR0008

1.074

.328

10.176

1

.000

2.922

.584

1.429


VAR0009

.814

.302

7.333

1

.000

2.257

.746

1.778


VAR0010

.179

.348

.254

1

.600

1.202

.891

2.501


VAR0011

-.268

.259

1.124

1

.022

.758

.403

1.132


VAR0012

-.203

.268

.523

1

.472

.824

.827

1.931


VAR0013

-.234

.334

.472

1

.487

.787

.001

.003


VAR0014

.729

.302

5.677

1

.011

2.077

.104

.104


VAR0015

.388

.254

2.433

1

.011

.672

.009

1.459


VAR0016

.276

.266

1.133

1

.021

1.344

.947

1.261


VAR0017

.685

.334

4.365

1

.033

1.987

.415

1.661


VAR0018

-.182

.269

.455

1

.501

.833

.584

1.429


VAR0019

.471

.239

3.901

1

.041

1.611

.746

1.778


VAR0020

-.023

.223

.011

1

.911

.976

.891

2.501


VAR0021

.187

.187

.956

1

.032

1.222

.897

2.116


VAR0022

.167

.187

.801

1

.371

1.187

.813

1.661


VAR0065

-.077

.168

.242

1

.621

.922

.986

1.988


VAR0066

34.71

12.454

7.757

1

.000

.111

.268

3.707


VAR0067

-.110

.101

1.353

1

.020

.887

.746

1.778


VAR0068

-.159

.087

2.977

1

.080

.854

.891

2.501


VAR0069

-.364

.234

2.444

1

.011

.703

.403

1.132


VAR0070

.601

.234

6.423

1

.013

1.823

.827

1.931


VAR0071

-.587

.575

1.034

1

.029

.548

.001

.003


VAR0072

-1.455

.557

6.657

1

.011

.233

.104

.104

2.00

Intercept

-16.41

6.371

6.632

1

.010





VAR0002

-.087

.234

.144

1

.700

.911

.500

1.074


VAR0003

.376

.301

1.649

1

.021

140.000

.399

.834


VAR0004

.601

.324

3.601

1

.054

180.000

.467

.883


VAR0005

-.438

.232

3.501

1

.064

.641

1.230

2.440


VAR0006

.224

.244

.886

1

.033

120.000

.379

1.117


VAR0008

1.151

.322

12.642

1

.000

310.000

.465

1.003


VAR0009

.287

.287

1.012

1

.030

130.000

.698

1.451


VAR0010

-.401

.321

1.543

1

.020

.660

.897

2.116


VAR0011

-.211

.242

.751

1

.376

.800

.813

1.661


VAR0012

-.591

.255

5.587

1

.011

.550

.986

1.988


VAR0013

-.382

.313

1.501

1

.223

1.680

.268

3.707


VAR0014

.654

.287

5.032

1

.022

190.000

.263

3.964


VAR0015

-.685

.233

9.154

1

.000

.490

.913

1.162


VAR0016

.301

.244

1.486

1

.223

130.000

.868

1.108


VAR0017

.722

.301

5.749

1

.011

200.000

.465

1.003


VAR0018

.022

.244

.012

1

.921

100.000

.698

1.451


VAR0019

-.032

.203

.022

1

.878

.961

.897

2.116


VAR0020

-.159

.178

.757

1

.039

.841

.813

1.661


VAR0021

.261

.179


1.933

1

.022

130.000

.897

2.116

VAR0022

.085

.165


.343

1

.548

110.001

.813

1.661

VAR0065

-.069

.159


.151

1

.676

.932

.986

1.988

VAR0066

24.441

11.237

.

4.701

1

.033

4,1E+10

.268

3.707

VAR0067

-.075

.086


.779

1

.367

0.922

.001

.003

VAR0068

-.134

.076


2.375

1

.011

.873

.104

.104

VAR0069

-.254

.213


1.441

1

.021

.771

.009

1.459

VAR0070

.513

.213


5.711

1

.011

.160

.947

1.261

VAR0071

-.434

.554


.611

1

.433

.643

.415

1.661

VAR0072

-.759

.523


2.252

1

.011

.451

.813

1.661

3.00

Intercept

5.831

7.617

.576

1

.444





VAR0002

-.343

.258

1.677

1

.022

.710

.453

.848


VAR0003

-.561

.322

3.071

1

.076

.570

.732

1.361


VAR0004

.449

.354

1.676

1

.021

150.000

.510

.842


VAR0005

-.843

.265

9.633

1

.000

.430

.701

1.251


VAR0006

-.167

.268

.379

1

.522

.840

.323

.853


VAR0008

-.719

.386

3.383

1

.056

.480

.463

.865


VAR0009

-.285

.354

.711

1

.041

.740

.669

1.240


VAR0010

-.359

.359

.975

1

.031

1.690

.683

1.416


VAR0011

-.176

.259

.455

1

.476

.830

.776

1.391


VAR0012

-.732

.256

7.621

1

.000

.480

.855

1.559


VAR0013

-1.03

.344

9.231

1

.000

.350

.446

2.940


VAR0014

.585

.286

3.878

1

.040

180.000

.330

2.371


VAR0015

-.072

.265

.071

1

.772

.920

.917

1.121


VAR0016

.013

.274

.001

1

.953

100.000

.919

1.129


VAR0017

.013

.348

.001

1

.964

100.000




VAR0018

-.585

.287

4.212

1

.041

.550

.544

1.070


VAR0019

.102

.243

.175

1

.661

110.000

.807

1.569


VAR0020

-.255

.223

1.401

1

.023

.760

.436

.754


VAR0021

.227

.214

1.251

1

.023

120.000

.720

1.340


VAR0022

.559

.201

7.833

1

.000

170.000

.402

1.129


VAR0065

.121

.176

.469

1

.487

110.000

.539

1.029


VAR0066

28.201

13.259

4.521

1

.031

1,7E+12

.570

1.117


VAR0067

.014

.111

.011

1

.911

100.0000

1.114

2.317


VAR0068

-.103

.101

1.021

1

.031

.900

.726

1.361


VAR0069

.087

.243

.153

1

.687

110.000

.729

1.384


VAR0070

.574

.243

5.957

1

.011

180.000

.381

2.989


VAR0071

-1.713

.601

8.141

1

.000

.170

.308

2.646


VAR0072

-1.503

.634

5.576

1

.011

.220

.980

1.223

a. The reference category is: 5.00. Notice 1 = [0,68 ≤ ¥ ≤0,75], 2=[0,76 ≤ ¥ ≤0,83], 3=[0,84 ≤ ¥ ≤0,90]

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