Detecting insider trading in financial markets – Complete Phd and Masters Thesis



Introduction

Insider trading is a practice in financial markets where individuals with access to non-public information about a company use that information to make trades, gaining an unfair advantage over other investors. Detecting insider trading is crucial in maintaining the integrity and fairness of financial markets. This thesis aims to explore the various methods and strategies used to detect insider trading in financial markets.

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter Two: Literature Review
2.1 Overview of insider trading
2.2 Historical perspective on insider trading
2.3 Theoretical framework of insider trading
2.4 Regulatory framework on insider trading
2.5 Empirical studies on insider trading detection
2.6 Technology and insider trading detection
2.7 Challenges in detecting insider trading
2.8 Insider trading penalties and consequences
2.9 Ethical implications of insider trading
2.10 Current trends in insider trading detection

Chapter Three: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Data analysis techniques
3.4 Sample selection
3.5 Variables and measures
3.6 Data validation
3.7 Ethical considerations
3.8 Research limitations

Chapter Four: Discussion of Findings
4.1 Overview of findings
4.2 Analysis of data collected
4.3 Comparison of different detection methods
4.4 Case studies on successful insider trading detection
4.5 Recommendations for improving insider trading detection
4.6 Future research directions
4.7 Implications for policy and practice

Chapter Five: Conclusion and Summary
5.1 Summary of key findings
5.2 Contribution to the field
5.3 Limitations of the study
5.4 Recommendations for future research
5.5 Conclusion

Thesis Overview

Detecting insider trading in financial markets is a critical issue that affects the fairness and integrity of financial markets. This thesis aims to explore the various methods and strategies used to detect insider trading, including the regulatory and ethical implications of insider trading. The literature review provides an overview of insider trading, historical perspectives, theoretical frameworks, regulatory frameworks, empirical studies, technology, challenges, penalties, consequences, and ethical implications. The research methodology section outlines the research design, data collection methods, data analysis techniques, sample selection, variables and measures, data validation, ethical considerations, and research limitations. The discussion of findings chapter analyzes the data collected, compares different detection methods, presents case studies, offers recommendations, and identifies future research directions. The conclusion and summary chapter summarizes key findings, highlights contributions to the field, identifies limitations, provides recommendations for future research, and concludes the thesis.


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