Credit Scoring via Statistical and Intelligent Techniques:Empirical Evidence from Chinese SME and agricultural credit

目录

声明

1. Introduction

1.1 Background

1.2 Research Motivation

1.3 Research Idea and Methods

1.4 Research Questions and Research Objectives

1.5 Research Contributions

2 Literature Review

2.1 Theoretical Background of Credit Scoring

2.2 Importance of Credit Scoring

2.3 Limitation of Credit Scoring

2.4 Empirical Literature of Credit Scoring

3 Data and Methods

3.1 Real-world Credit Datasets

3.2 Data Preprocessing

3.3 Data Balancing

3.4 Feature Selection

3.5 Baseline classifiers

3.6 Performance evaluation

3.7 Statistical Significance Test

4 Empirical Results

4.1 Classification outcomes based on credit scoring datasets

4.2 Best combination between feature selection methods and prediction classifiers

4.3 The effect of feature selection on average outcomes of classifiers

4.4 Statistical significance test results

5 Conclusions and Policy Implication

5.1 Main Conclusion

5.2 Main Findings

5.3 Main Contributions

5.4 Policy Implication

5.5 Future Research Direction

参考文献

Appendix

Publications during Study Period

致谢

Curriculum Vitae