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     Research Journal of Applied Sciences, Engineering and Technology


Some Quantitative Issues in Pairs Trading

1M.A. Alrasheedi and 2A.A. Al-Ghamedi
1Department of Quantitative Methods, King Faisal University, Hofuf, Saudi Arabia
2Department of Statistics, King Abdulaziz University, Jeddah, Saudi Arabia
Research Journal of Applied Sciences, Engineering and Technology  2013  6:2264-2269
http://dx.doi.org/10.19026/rjaset.5.4782  |  © The Author(s) 2013
Received: October 30, 2012  |  Accepted: December 20, 2012  |  Published: February 21, 2013

Abstract

In this study, Pairs Trading (PT) is considered. An example of its application using real data is shown and a time series simulation of the Saudi stock market using the Vector Auto-Regressive model (VAR) is performed on two stocks. In addition, the influence of different simulation model parameters on the total profit is investigated. We conducted a quantitative analysis of different cross-correlations that occurred between simulated stocks, as well as of different values of linear trends in the auto-regressive model. Furthermore, the optimal conditions for the application of a PT strategy, as well as the optimal parameters used for this strategy were obtained. It was shown that parallel trends and a high correlation between considered stocks can lead to significant profits. In the case of highly correlated series with limited volatility, benchmarks should be used for opening and closing positions.

Keywords:

Pairs trading, simulation, trading decision making, trends, vector auto-regressive model,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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