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Introduction

Peer-to-peer lending has gained significant popularity in recent years as an alternative form of financing for individuals and small businesses. However, like traditional lending institutions, peer-to-peer platforms are also exposed to credit risk. Credit risk modeling plays a crucial role in assessing and managing this risk, ensuring the stability and viability of peer-to-peer lending platforms.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Evolution of Peer-to-Peer Lending
2.2 Credit Risk in Peer-to-Peer Lending
2.3 Traditional Credit Risk Modeling Techniques
2.4 Machine Learning Approaches in Credit Risk Modeling
2.5 Behavioral Finance in Credit Risk Assessment
2.6 Regulatory Framework for Peer-to-Peer Lending
2.7 Empirical Studies on Credit Risk in Peer-to-Peer Lending
2.8 Critique of Existing Literature
2.9 Research Gaps
2.10 Theoretical Framework

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection
3.3 Data Analysis
3.4 Sampling Technique
3.5 Variables and Measurement
3.6 Model Specification
3.7 Research Hypotheses
3.8 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Descriptive Statistics
4.2 Credit Risk Factors in Peer-to-Peer Lending
4.3 Model Performance Evaluation
4.4 Comparison of Different Modeling Approaches
4.5 Implications for Peer-to-Peer Lending Platforms
4.6 Policy Recommendations
4.7 Future Research Directions

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Managerial Implications
5.4 Limitations of the Study
5.5 Directions for Future Research
5.6 Conclusion

Thesis Overview:

Credit risk modeling is essential for peer-to-peer lending platforms to assess the probability of borrowers defaulting on their loans. This thesis aims to provide a comprehensive analysis of credit risk modeling in the context of peer-to-peer lending.

Chapter 1 introduces the topic, presents the background of the study, identifies the problem statement, outlines the objectives, limitations, scope, and significance of the study, and provides the structure of the thesis along with the definition of terms.

Chapter 2 reviews the existing literature on peer-to-peer lending, credit risk modeling techniques, machine learning approaches, behavioral finance, and regulatory frameworks to establish a theoretical framework and identify research gaps.

Chapter 3 discusses the research methodology, including research design, data collection, analysis, sampling technique, variables, model specification, hypotheses, and ethical considerations.

Chapter 4 presents a detailed discussion of findings, including descriptive statistics, credit risk factors, model performance evaluation, comparison of modeling approaches, implications for peer-to-peer platforms, policy recommendations, and future research directions.

Chapter 5 concludes the thesis with a summary of findings, conclusions, managerial implications, limitations of the study, directions for future research, and a final conclusion.

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