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Table of Contents

Chapter 1: 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 the Study

Chapter 2: Literature Review
2.1 Historical Overview of Mathematical Finance
2.2 Option Pricing Models
2.3 Hedging Strategies
2.4 Empirical Studies on Option Pricing and Hedging

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques

Chapter 4: Discussion of Findings
4.1 Analysis of Option Pricing Models
4.2 Evaluation of Hedging Strategies
4.3 Comparison of Different Approaches
4.4 Implications for Financial Markets

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Contributions to Knowledge
5.3 Recommendations for Future Research

Overview:

The thesis “Mathematical Finance: Option Pricing Models and Hedging Strategies” explores the use of advanced mathematical models in the financial industry to price options and develop effective hedging strategies.

In Chapter 1, the introduction provides a background on the study, states the problem being addressed, and outlines the research questions and objectives. The significance of the study is highlighted, along with the limitations and scope of the research.

Chapter 2 delves into the literature review, examining the historical development of mathematical finance, various option pricing models, different hedging strategies, and empirical studies on the topic.

Chapter 3 details the research methodology, including the research design, data collection methods, and data analysis techniques utilized in the study.

Chapter 4 presents the discussion of findings, analyzing the effectiveness of option pricing models and hedging strategies. The chapter also compares different approaches and discusses the implications for financial markets.

Finally, Chapter 5 concludes the thesis by summarizing the key findings, highlighting contributions to knowledge, and providing recommendations for future research in the field of mathematical finance.

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