Mathematical Techniques in High-Frequency Trading – 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 Objectives of the Study
1.4 Limitations of Study
1.5 Scope of Study

Chapter 2: Literature Review
2.1 Overview of High-Frequency Trading
2.2 Mathematical Techniques in Trading
2.3 Previous Studies on High-Frequency Trading
2.4 Current Trends in High-Frequency Trading

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

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

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

Brief Overview of Thesis: Mathematical Techniques in High-Frequency Trading

High-frequency trading (HFT) is a type of trading that uses advanced mathematical algorithms and computer programs to execute high-speed and high-volume transactions in financial markets. This thesis explores the mathematical techniques used in HFT and their impact on market dynamics.

The introduction provides background information on HFT and highlights the problem statement related to the efficiency and fairness of such trading strategies. The objectives of the study are to analyze the mathematical techniques used in HFT, identify limitations of current studies, and determine the scope of the research.

The literature review examines previous studies and current trends in HFT, focusing on the role of mathematical techniques in optimizing trading strategies. The research methodology outlines data collection methods, analysis techniques, and research design used in the study.

The discussion of findings presents the analysis of data collected, interpretation of results, and implications of the findings on market dynamics. The conclusion summarizes the main findings, draws conclusions based on the results, and provides recommendations for future research in this field.

Overall, this thesis contributes to the understanding of mathematical techniques in high-frequency trading and their impact on financial markets.

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