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Introduction
Correlation arbitrage strategies have gained significant attention in the finance industry due to their potential for generating profits by exploiting pricing inefficiencies in correlated assets. This thesis aims to provide a comprehensive overview of correlation arbitrage strategies, including their background, methodology, and implications for 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
– Overview of arbitrage strategies
– Correlation as a measure of relationship between assets
– Previous studies on correlation arbitrage strategies
– Market efficiency and pricing anomalies
– Risk management in correlation arbitrage
– Impact of news and events on correlation relationships
– Role of technology in executing correlation arbitrage strategies
– Portfolio construction and optimization techniques
– Regulatory environment for correlation arbitrage
– Empirical evidence of correlation arbitrage profitability
Chapter Three: Research Methodology
– Research design and approach
– Data collection methods
– Sampling techniques
– Measurement and data analysis tools
– Variables and hypotheses
– Model specification
– Data interpretation techniques
– Ethical considerations
Chapter Four: Discussion of Findings
– Analysis of correlation arbitrage strategies
– Performance evaluation metrics
– Comparison with traditional trading strategies
– Risk-return profile of correlation arbitrage
– Factors influencing profitability
– Case studies of successful correlation arbitrage trades
Chapter Five: Conclusion and Summary
– Recap of key findings
– Implications for practitioners and policymakers
– Recommendations for future research
– Conclusion on the effectiveness of correlation arbitrage strategies
Thesis Overview on Correlation Arbitrage Strategies
Correlation arbitrage strategies involve identifying and exploiting mispricing in assets that have a historically strong correlation. By taking advantage of temporary divergences in the prices of correlated assets, traders can profit from mean reversion and convergence towards their long-term relationship. This thesis seeks to explore the theoretical foundations, practical implementation, and empirical evidence of correlation arbitrage strategies in financial markets.
The literature review will provide a comprehensive survey of existing research on correlation arbitrage, including its historical development, key concepts, and empirical findings. By examining the factors influencing the profitability and risk of correlation arbitrage strategies, this thesis aims to shed light on their effectiveness as a trading strategy.
The research methodology section will outline the data sources, sampling methods, and analytical tools used to study correlation arbitrage strategies. By applying statistical models and hypothesis testing, this thesis will evaluate the performance of correlation arbitrage strategies and identify the factors that contribute to their success or failure.
The discussion of findings will present the results of empirical analysis, including the performance metrics, risk-return profile, and case studies of correlation arbitrage trades. By comparing correlation arbitrage strategies with traditional trading approaches and assessing their impact on financial markets, this thesis will provide insights into the challenges and opportunities of implementing these strategies.
In conclusion, this thesis will summarize the key findings, implications for practitioners and policymakers, and recommendations for future research on correlation arbitrage strategies. By offering a comprehensive overview of the theoretical, empirical, and practical aspects of correlation arbitrage, this thesis aims to contribute to the understanding and advancement of this important trading strategy in the finance industry.
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