Understanding the nature of oil fluctuations using 1 neutral network moving average: A study on the returns of crude oil futures

This paper describes the profitability of technical trading rules which are enhanced by the use of neural networks on crude oil futures contracts traded on Chicago Merchantile Exchange and on Bursa Derivative Malaysia. The profitable returns on the futures contract on crude light oil futures traded...

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Main Authors: Phooi M’ng, J.C., Zainudin, R., Aziz, A.A.
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.um.edu.my/13632/1/ATINER-PAPER-ANN-MA20_Crude_Light_Oil.pdf
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author Phooi M’ng, J.C.
Zainudin, R.
Aziz, A.A.
author_facet Phooi M’ng, J.C.
Zainudin, R.
Aziz, A.A.
author_sort Phooi M’ng, J.C.
collection UM
description This paper describes the profitability of technical trading rules which are enhanced by the use of neural networks on crude oil futures contracts traded on Chicago Merchantile Exchange and on Bursa Derivative Malaysia. The profitable returns on the futures contract on crude light oil futures traded from 2/1/2008 to 31/12/2014 offer a piece of evidence on the ability of technical trading rules using neural networks to outperform the threshold benchmark, buy and hold. The results here suggest that it is worthwhile to design, build and develop more robust, machine learning algorithms like neural networks enhanced moving average technical indicator to enhance portfolio returns. The conclusion drawn is that neural network can be used in technical analysis as a predictor for futures market prices.
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spelling um.eprints-136322015-06-17T03:02:13Z http://eprints.um.edu.my/13632/ Understanding the nature of oil fluctuations using 1 neutral network moving average: A study on the returns of crude oil futures Phooi M’ng, J.C. Zainudin, R. Aziz, A.A. AC Collections. Series. Collected works This paper describes the profitability of technical trading rules which are enhanced by the use of neural networks on crude oil futures contracts traded on Chicago Merchantile Exchange and on Bursa Derivative Malaysia. The profitable returns on the futures contract on crude light oil futures traded from 2/1/2008 to 31/12/2014 offer a piece of evidence on the ability of technical trading rules using neural networks to outperform the threshold benchmark, buy and hold. The results here suggest that it is worthwhile to design, build and develop more robust, machine learning algorithms like neural networks enhanced moving average technical indicator to enhance portfolio returns. The conclusion drawn is that neural network can be used in technical analysis as a predictor for futures market prices. 2015-05 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/13632/1/ATINER-PAPER-ANN-MA20_Crude_Light_Oil.pdf Phooi M’ng, J.C. and Zainudin, R. and Aziz, A.A. (2015) Understanding the nature of oil fluctuations using 1 neutral network moving average: A study on the returns of crude oil futures. In: International Conference on Finance , 25-28 May 2015, Athens, Greece. (Submitted)
spellingShingle AC Collections. Series. Collected works
Phooi M’ng, J.C.
Zainudin, R.
Aziz, A.A.
Understanding the nature of oil fluctuations using 1 neutral network moving average: A study on the returns of crude oil futures
title Understanding the nature of oil fluctuations using 1 neutral network moving average: A study on the returns of crude oil futures
title_full Understanding the nature of oil fluctuations using 1 neutral network moving average: A study on the returns of crude oil futures
title_fullStr Understanding the nature of oil fluctuations using 1 neutral network moving average: A study on the returns of crude oil futures
title_full_unstemmed Understanding the nature of oil fluctuations using 1 neutral network moving average: A study on the returns of crude oil futures
title_short Understanding the nature of oil fluctuations using 1 neutral network moving average: A study on the returns of crude oil futures
title_sort understanding the nature of oil fluctuations using 1 neutral network moving average a study on the returns of crude oil futures
topic AC Collections. Series. Collected works
url http://eprints.um.edu.my/13632/1/ATINER-PAPER-ANN-MA20_Crude_Light_Oil.pdf
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