Financial mathematics and risk management – Complete Phd and Masters Thesis

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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 Limitations of the Study
1.6 Scope of the Study

Chapter 2: Literature Review
2.1 Overview of Financial Mathematics
2.2 Risk Management Concepts
2.3 Previous Studies on Financial Mathematics and Risk Management

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

Chapter 4: Discussion of Findings
4.1 Analysis of Data
4.2 Interpretation of Results
4.3 Comparison with Literature
4.4 Implications of Findings

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Recommendations for Future Research
5.3 Conclusion

Brief Overview:

Financial mathematics and risk management are two crucial components in the field of finance. This thesis aims to investigate the application of financial mathematics in managing risks in financial markets. The study will explore the various concepts and models used in financial mathematics, as well as the different strategies and tools employed in risk management.

The introduction provides a background of the study, problem statement, research questions, objectives, limitations, and scope of the study. The literature review examines previous studies on financial mathematics and risk management, providing a comprehensive overview of the subject matter.

The research methodology outlines the research design, data collection methods, data analysis techniques, and sampling techniques used in the study. The discussion of findings analyzes the data collected, interprets the results, compares them with the existing literature, and discusses the implications of the findings.

The conclusion and summary section summarizes the findings, provides recommendations for future research, and concludes the thesis. Overall, this research will contribute to the understanding of financial mathematics and risk management in the context of financial markets.

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