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Credit Management

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3.0 Analysis and Findings
3.1 Group Means: These are computed for each variables for each groups (Default & Regular basis). In group statistics status –1 is Default &status-2 is Regular.

Group Statistics

|Status | Variables |Mean |Std. Deviation |
|1 |Loan |601000.00 |424013.89 |
| |Dependents |1.10 |1.45 |
| |Y-P-J |7.30 |4.64 |
| |Salary |63681.80 |57749.64 |
| |Living |.30 |.48 |
| |Savings |37855.80 |42409.82 |
| |Cash |743600.00 |1563365.19 |
| |Networth |10227583.90 |14289699.78 |
| |ACT |1.20 |.42 |
| |N-EMT |54.00 |8.49 |
| |EMT |16113.59 |10515.55 |
| |Interest(%) |18.97 |.03 |
| |Guar. |.60 |.52 |
|2 |Loan |1072000.00 |1136403.20 |
| |Dependents |1.70 |1.57 |
| |Y-P-J |7.40 |4.62 |
| |Salary |115849.00 |205245.98 |
| |Living |.30 |.48 |
| |Savings |140620.00 |241851.79 |
| |Cash |313000.00 |512749.67 |
| |Networth |4211100.00 |3623888.63 |
| |ACT |1.20 |.63 |
| |N-EMT |55.20 |8.39 |
| |EMT |28711.23 |28950.10 |
| |Interest(%) |16.69 |2.57 |
| |Guar. |.50 |.53 |
|Total |Loan |836500.00 |869058.93 |
| |Dependents |1.40 |1.50 |
| |Y-P-J |7.35 |4.51 |
| |Salary |89765.40 |149165.30 |
| |Living |.30 |.47 |
| |Savings |89237.90 |177025.18 |
| |Cash |528300.00 |1153719.12 |
| |Networth |7219341.95 |10605220.14 |
| |ACT |1.20 |.52 |
| |N-EMT |54.60 |8.24 |
| |EMT |22412.41 |22161.69 |
| |Interest(%) |17.83 |2.12 |
| |Guar. |.55 |.51 |

3.2 Tests of Equality of Group Means:

Tests of Equality of Group Means

| Variables |Wilks' Lambda |F |df1 |df2 |Sig. |
|Loan |.923 |1.508 |1 |18 |.235 |
|Dependents |.958 |.790 |1 |18 |.386 |
|Y-P-J |1.000 |.002 |1 |18 |.962 |
|Salary |.968 |.599 |1 |18 |.449 |
|Living |1.000 |.000 |1 |18 |1.000 |
|Savings |.911 |1.752 |1 |18 |.202 |
|Cash |.963 |.685 |1 |18 |.419 |
|Networth |.915 |1.666 |1 |18 |.213 |
|ACT |1.000 |.000 |1 |18 |1.000 |
|N-EMT |.994 |.101 |1 |18 |.754 |
|EMT |.915 |1.673 |1 |18 |.212 |
|Interest(%) |.696 |7.877 |1 |18 |.012 |
|Guar. |.990 |.184 |1 |18 |.673 |

3.3 Eigenvalues & Wilks' Lambda: For each discriminant function ,the eigenvalue is the ratio of between-group to within- group sums of square. Large eigenvalues is more acceptable.

Eigenvalues
|Function |Eigenvalue |% of Variance |Cumulative % |Canonical Correlation |
|1 |21.729(a) |100.0 |100.0 |.978 |

a First 1 canonical discriminant functions were used in the analysis.

In Wilks’ Lambda another name is U statistic. For each predictor is the ratio of the within-group sum of squares to the total sum of squares.

Wilks' Lambda
|Test of Function(s) |Wilks' Lambda |Chi-square |df |Sig. |
|1 |.044 |35.922 |13 |.001 |

3.4 Structure Matrix: Structure matrix represent the simple correlation between the predictor and the discriminant function. In structure matrix YPJ, Living, Accounts may be avoided.

Structure Matrix

| Variables |Function |
|Interest(%) |.142 |
|Savings |-.067 |
|EMT |-.065 |
|Networth |.065 |
|Loan |-.062 |
|Dependents |-.045 |
|Cash |.042 |
|Salary |-.039 |
|Guar. |.022 |
|N-EMT |-.016 |
|Y-P-J |-.002 |
|Living |.000 |
|ACT |.000 |

Pooled within-groups correlations between discriminating variables and standardized canonical discriminant functions Variables ordered by absolute size of correlation within function.

3.5 The Function: Canonical discriminant function coefficient displayed the variables that are significant. It is a measures of association between the single discriminant function and the variables.In this table, we found (-23.191) is Z value. We
Construct formula using discriminant function. These are – Z = -23.191+.000 Loan –
2.718 Dependents + .159YPJ + .000Salary – 1.343Living +.000Savings +.000Cash –
.167N-EMT + .000EMT +1.689Interast + 1.291Guar.

Canonical Discriminant Function Coefficients

| Variables |Function |
| |1 |
|Loan |.000 |
|Dependents |-2.718 |
|Y-P-J |.159 |
|Salary |.000 |
|Living |-1.343 |
|Savings |.000 |
|Cash |.000 |
|Networth |.000 |
|ACT |3.921 |
|N-EMT |-.167 |
|EMT |.000 |
|Interest(%) |1.684 |
|Guar. |1.291 |
|(Constant) |-23.191 |

Unstandardized coefficients

3.6 Group Centroids: The centroid is the mean values for the discriminant scores for a Defaults & Regular groups

Functions at Group Centroids

|Status |Function |
| |1 |
|1 |4.422 |
|2 |-4.422 |

Unstandardized canonical discriminant functions evaluated at group means

3.7 Case-wise Statistics:

[pic]

3.8 Histogram of Z values of status-1 & status-2:
[pic]

[pic]

3.9 Classification Results:

Classification Results(b,c)

| | |Status |Predicted Group Membership |Total |
| | | |1 |2 | |
|Original |Count |1 |10 |0 |10 |
| | |2 |0 |10 |10 |
| |% |1 |100.0 |.0 |100.0 |
| | |2 |.0 |100.0 |100.0 |
|Cross-validated(a)|Count |1 |9 |1 |10 |
| | |2 |2 |8 |10 |
| |% |1 |90.0 |10.0 |100.0 |
| | |2 |20.0 |80.0 |100.0 |

a Cross validation is done only for those cases in the analysis. In cross validation, each case is classified by the functions derived from all cases other than that case. b 100.0% of original grouped cases correctly classified. c 85.0% of cross-validated grouped cases correctly classified.

4.0 Recommendations

4.1 In this topics we use the formula D = bo+b1x1+b2x2+b3x3+………+….

4.2 In this topics Group statistics, Eigenvalues, Wilks’Lambda and Canonical discriminant function coefficients are more valuable.

4.3 Arrange the training opportunity of the bankers employee.

4.4

4.5

5.0 Conclusions

References:

Appendices:
Appendix: 01

Appendix: 02

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