Abstract
This paper presents 6 time-series that have negative correlation with KOSPI200 Index and a quantitative trading methodology based on stochastic control chart using these time-series. The proposed quantitative trading framework detects trade (long or short) timing by monitoring whether a time-series touches 4 trigger lines, which play a role as control limits in control chart. In other words, a time-series upwardly touches one of trigger line, then the framework take a short position on KOSPI200 Index Futures, while in case of downward touch, it takes a long position. The 6 time-series are derived from VKOSPI and USD Futures Index that are negatively correlated with KOSPI200 Index, and have a significance that prevents disclosure of trading strategies by processing and transforming the original time-series. Computational experiments using real KOSPI200 futures index for recent 4 years are conducted to show the excellence of the proposed investment strategies against benchmark strategies under quantitative trading framework.
Keywords
Citation
Ryu, J. and Shin, H.J. (2014), "Investment Strategies for KOSPI200 Index Futures Using Negative Correlation of Time-Series", Journal of Derivatives and Quantitative Studies: 선물연구, Vol. 22 No. 4, pp. 723-746. https://doi.org/10.1108/JDQS-04-2014-B0006
Publisher
:Emerald Publishing Limited
Copyright © 2014 Emerald Publishing Limited
License
This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode