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Table of Contents
Chapter One: Introduction
1.1 Background of the Study
1.2 Statement of the Problem
1.3 Research Questions
1.4 Objectives of the Study
1.5 Significance of the Study
1.6 Limitations of the Study
1.7 Scope of Study
Chapter Two: Literature Review
2.1 Overview of Mathematical Finance
2.2 Financial Mathematics
2.3 Quantitative Finance
2.4 Previous Studies on Mathematical Finance
Chapter Three: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis
Chapter Four: Discussion of Findings
4.1 Analysis of Financial Mathematics
4.2 Evaluation of Quantitative Finance
4.3 Comparison of Mathematical Finance Models
4.4 Implications of Findings
Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Recommendations for Future Research
Brief Overview on Thesis: Mathematical Finance: Financial Mathematics and Quantitative Finance
Mathematical Finance is a field that combines mathematical tools with finance theories to analyze and solve financial problems. This thesis focuses on the intersection of Financial Mathematics and Quantitative Finance, examining how mathematical models can be used to better understand and predict financial markets.
In Chapter One, the introduction provides a background of the study, outlining the objectives, significance, limitations, and scope of the research. Chapter Two presents a comprehensive review of the literature on Mathematical Finance, Financial Mathematics, and Quantitative Finance, highlighting previous studies and research gaps.
Chapter Three details the research methodology employed in the study, including the research design, data collection methods, sampling techniques, and data analysis procedures. Chapter Four discusses the findings of the study, analyzing financial mathematics, evaluating quantitative finance, comparing mathematical finance models, and discussing the implications of the findings.
Finally, Chapter Five presents the conclusion and summary of the thesis, summarizing the key findings, drawing conclusions, and providing recommendations for future research in the field of Mathematical Finance. This thesis contributes to the existing body of knowledge on financial mathematics and quantitative finance, offering insights into how mathematical models can be used to improve financial decision-making and market predictions.
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