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Table of Contents:

Chapter 1: Introduction
1.1 Background of the Study
1.2 Problem Statement
1.3 Research Questions
1.4 Objectives of the Study
1.5 Significance of the Study
1.6 Scope and Limitations of the Study

Chapter 2: Literature Review
2.1 Overview of Mathematical Finance
2.2 Interest Rate Models
2.3 Credit Risk Models
2.4 Empirical Studies in Mathematical Finance
2.5 Gaps in Existing Literature

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Procedures
3.5 Research Limitations

Chapter 4: Discussion of Findings
4.1 Analysis of Interest Rate Models
4.2 Analysis of Credit Risk Models
4.3 Comparison of Models
4.4 Implications for Financial Markets
4.5 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to the Field of Mathematical Finance
5.4 Recommendations for Practitioners
5.5 Suggestions for Further Research

Brief Overview of Thesis:

The thesis on Mathematical Finance: Interest Rate Models and Credit Risk delves into the intricate world of financial mathematics, specifically focusing on interest rate models and credit risk. The study aims to analyze and compare different models used in the financial industry to predict interest rates and assess credit risk.

Chapter one introduces the background of the study, highlights the problem statement, research questions, objectives, significance, and scope of the study. Chapter two presents a comprehensive literature review on mathematical finance, interest rate models, credit risk models, and existing empirical studies in the field.

Chapter three outlines the research methodology, including research design, data collection methods, data analysis techniques, sampling procedures, and research limitations. Chapter four discusses the findings from the analysis of interest rate models, credit risk models, and comparisons between them.

Finally, chapter five concludes the study with a summary of findings, implications for financial markets, recommendations for practitioners, and suggestions for future research. Overall, this thesis contributes to the advancement of mathematical finance and provides valuable insights for professionals in the financial industry.

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