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논문검색

Mining Pairs-Trading Patterns: A Framework

초록

영어

Pairs trading is an investment strategy that depends on the price divergence between a pair of stocks. Essentially, this strategy involves choosing a pair of stocks that historically move together, then taking a long-short position if the pair’s prices diverge, and finally reversing the previous position when prices converge. The rationale of the pairs trading is to make a profit and avoid market risk. This review focuses on presenting researchers with the state-of-the-art techniques used in finding pairs trading. In addition, it shows the most important key issues that researchers need to consider while investigating or studying the financial data in finding pairs.

목차

Abstract
 1. Introduction
  1.1. Contributions and Paper Outline
 2. Pairs Trading Framework
 3. Used Techniques and Models
  3.1. Traditional Statistical Approaches
  3.2. Mining and Machine Learning Techniques
 4. Key Issues in Pairs Trading
 5. Summary
 Acknowledgements
 References

저자정보

  • Ghazi Al-Naymat College of Computer Science and Information Technology University of Dammam, KSA

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