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Table of Contents:

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

Chapter 2: Literature Review
2.1 Introduction to Mathematical Finance
2.2 Risk Management in Finance
2.3 Portfolio Optimization Models
2.4 Previous Studies on Risk Management and Portfolio Optimization
2.5 Gaps in the 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 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Data Analysis Results
4.2 Comparison of Portfolio Optimization Models
4.3 Risk Management Strategies
4.4 Implications for Financial Decision Making

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusions
5.3 Recommendations for Future Research
5.4 Practical Implications

Brief Overview of Thesis “Mathematical Finance: Risk Management and Portfolio Optimization”:

The thesis “Mathematical Finance: Risk Management and Portfolio Optimization” focuses on the application of mathematical models in the field of finance to effectively manage risk and optimize investment portfolios. The study aims to explore various mathematical finance concepts, risk management strategies, and portfolio optimization models to provide insights into decision-making processes in financial markets.

The research methodology includes a comprehensive literature review of previous studies on mathematical finance, risk management, and portfolio optimization. Data collection methods involve analyzing historical financial data and applying mathematical techniques to optimize investment portfolios.

The findings of the study will contribute to the existing body of knowledge in financial management by discussing the implications of different risk management strategies and portfolio optimization models on financial decision-making processes. The conclusion and summary will highlight the key findings of the study and provide recommendations for future research in the field of mathematical finance.

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