Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4942697 | Engineering Applications of Artificial Intelligence | 2017 | 10 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Sukjun Lee, David Enke, Youngmin Kim,