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A Relative Value Trading System Based on a Correlation and Rough Set Analysis for the Foreign Exchange Futures Market
Engineering Applications of Artificial Intelligence
  • Sukjun Lee
  • David Lee Enke, Missouri University of Science and Technology
  • Youngmin Kim
Abstract

This paper describes the conceptual framework of a relative value (RV)-based trading system focused on the data characteristics of the foreign exchange futures market using a correlation and rough set analysis. RV trading is an investment strategy that can generate potential profits based on the RV of two securities, regardless of market direction. We select pairs with a positive correlation, negative correlation, or no correlation based on the correlation coefficients between foreign exchange futures contracts. To implement and experiment with the proposed system, trading rules are generated using a rough set analysis that employs technical indicators derived from the RVs of the pairs. The performance of the proposed trading system is analyzed using the momentum and buy-and-hold trading strategies as benchmarks. The experimental results and analyses demonstrate that the level of the correlation of the pairs must be considered when developing stable and profitable RV trading systems in a foreign exchange futures market.

Department(s)
Engineering Management and Systems Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
  • Benchmarking,
  • Commerce,
  • Economics,
  • Investments,
  • Profitability,
  • Rough set theory,
  • Conceptual frameworks,
  • Correlation analysis,
  • Correlation coefficient,
  • Foreign exchange,
  • Negative correlation,
  • Positive correlations,
  • Rough set analysis,
  • Trading systems,
  • Financial markets,
  • Foreign exchange futures,
  • Relative value trading system
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Elsevier, All rights reserved.
Publication Date
5-1-2017
Publication Date
01 May 2017
Citation Information
Sukjun Lee, David Lee Enke and Youngmin Kim. "A Relative Value Trading System Based on a Correlation and Rough Set Analysis for the Foreign Exchange Futures Market" Engineering Applications of Artificial Intelligence Vol. 61 (2017) p. 47 - 56 ISSN: 0952-1976
Available at: http://works.bepress.com/david-enke/42/