Returns from neural network enhanced technical analysis indicator: A study on crude oil futures

Phooi M'ng, J. Chan; Aziz, Azmin Azliza; Ismail, Kamisah

International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 4 (April 2017), Pages: 7-13

Title: Returns from neural network enhanced technical analysis indicator: A study on crude oil futures

Author(s): J. Chan Phooi M'ng *, Azmin Azliza Aziz, Kamisah Ismail

Affiliation(s):

Faculty of Business and Accountancy, University of Malaya, Kuala Lumpur, Malaysia

https://doi.org/10.21833/ijaas.2017.04.002

Full Text - PDF XML

Abstract:

This paper proposes the use of neural networks on moving average trading rules to enhance the returns on trading crude oil futures contracts in Chicago Merchantile Exchange and in Bursa Derivative Malaysia. The returns on the oil futures contract on crude light oil futures from 2/1/2004 to 31/12/2013 are compared and tested for significance against the threshold control of buy-and-hold. This paper reports significant the annual mean returns. The results show that it is significantly profitable to use neural networks on technical analysis to outperform the crude oil futures markets.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Crude oil futures, Neural networks, Technical analysis indicator, Moving average

Article History: Received 1 December 2016, Received in revised form 12 February 2017, Accepted 12 February 2017

Digital Object Identifier:

https://doi.org/10.21833/ijaas.2017.04.002

Citation:

Phooi M'ng JC, Aziz AA, and Ismail K (2017). Returns from neural network enhanced technical analysis indicator: A study on crude oil futures. International Journal of Advanced and Applied Sciences, 4(4): 7-13

http://www.science-gate.com/IJAAS/V4I4/Phooi.html

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