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Generating Moving Average Trading Rules on the Oil Futures Market with Genetic Algorithms

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  • Lijun Wang
  • Haizhong An
  • Xiaohua Xia
  • Xiaojia Liu
  • Xiaoqi Sun
  • Xuan Huang

Abstract

The crude oil futures market plays a critical role in energy finance. To gain greater investment return, scholars and traders use technical indicators when selecting trading strategies in oil futures market. In this paper, the authors used moving average prices of oil futures with genetic algorithms to generate profitable trading rules. We defined individuals with different combinations of period lengths and calculation methods as moving average trading rules and used genetic algorithms to search for the suitable lengths of moving average periods and the appropriate calculation methods. The authors used daily crude oil prices of NYMEX futures from 1983 to 2013 to evaluate and select moving average rules. We compared the generated trading rules with the buy-and-hold (BH) strategy to determine whether generated moving average trading rules can obtain excess returns in the crude oil futures market. Through 420 experiments, we determine that the generated trading rules help traders make profits when there are obvious price fluctuations. Generated trading rules can realize excess returns when price falls and experiences significant fluctuations, while BH strategy is better when price increases or is smooth with few fluctuations. The results can help traders choose better strategies in different circumstances.

Suggested Citation

  • Lijun Wang & Haizhong An & Xiaohua Xia & Xiaojia Liu & Xiaoqi Sun & Xuan Huang, 2014. "Generating Moving Average Trading Rules on the Oil Futures Market with Genetic Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, May.
    • Handle: RePEc:hin:jnlmpe:101808
    DOI: 10.1155/2014/101808
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    1. Neely, Christopher & Weller, Paul & Dittmar, Rob, 1997. "Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(4), pages 405-426, December.
    2. Yu, Shiwei & Wei, Yi-ming, 2012. "Prediction of China's coal production-environmental pollution based on a hybrid genetic algorithm-system dynamics model," Energy Policy, Elsevier, vol. 42(C), pages 521-529.
    3. Chiarella, Carl & He, Xue-Zhong & Hommes, Cars, 2006. "A dynamic analysis of moving average rules," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1729-1753.
    4. Wu, Gang & Liu, Lan-Cui & Wei, Yi-Ming, 2009. "Comparison of China's oil import risk: Results based on portfolio theory and a diversification index approach," Energy Policy, Elsevier, vol. 37(9), pages 3557-3565, September.
    5. Janice How & Martin Ling & Peter Verhoeven, 2010. "Does size matter? A genetic programming approach to technical trading," Quantitative Finance, Taylor & Francis Journals, vol. 10(2), pages 131-140.
    6. An, Haizhong & Gao, Xiangyun & Fang, Wei & Huang, Xuan & Ding, Yinghui, 2014. "The role of fluctuating modes of autocorrelation in crude oil prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 382-390.
    7. William Cheung & Keith Lam & HangFai Yeung, 2011. "Intertemporal profitability and the stability of technical analysis: evidences from the Hong Kong stock exchange," Applied Economics, Taylor & Francis Journals, vol. 43(15), pages 1945-1963.
    8. Vlad Pavlov & Stan Hurn, 2009. "Testing the Profitability of Technical Analysis as a Portfolio Selection Strategy," NCER Working Paper Series 52, National Centre for Econometric Research.
    9. Chen, G.Q. & Chen, B., 2007. "Resource analysis of the Chinese society 1980-2002 based on exergy--Part 1: Fossil fuels and energy minerals," Energy Policy, Elsevier, vol. 35(4), pages 2038-2050, April.
    10. Hans Dewachter & Marco Lyrio, 2005. "The economic value of technical trading rules: a nonparametric utility-based approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(1), pages 41-62.
    11. Nomikos, Nikos & Andriosopoulos, Kostas, 2012. "Modelling energy spot prices: Empirical evidence from NYMEX," Energy Economics, Elsevier, vol. 34(4), pages 1153-1169.
    12. Yen-Sen Ni & Jen-Tsai Lee & Yi-Ching Liao, 2013. "Do variable length moving average trading rules matter during a financial crisis period?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(2), pages 135-141, February.
    13. He, Xue-Zhong & Zheng, Min, 2010. "Dynamics of moving average rules in a continuous-time financial market model," Journal of Economic Behavior & Organization, Elsevier, vol. 76(3), pages 615-634, December.
    14. Lei, Yalin & Cui, Na & Pan, Dongyang, 2013. "Economic and social effects analysis of mineral development in China and policy implications," Resources Policy, Elsevier, vol. 38(4), pages 448-457.
    15. Chen, B. & Chen, G.Q., 2007. "Resource analysis of the Chinese society 1980-2002 based on exergy--Part 3: Agricultural products," Energy Policy, Elsevier, vol. 35(4), pages 2065-2078, April.
    16. Chen, Z.M. & Chen, G.Q., 2011. "Embodied carbon dioxide emission at supra-national scale: A coalition analysis for G7, BRIC, and the rest of the world," Energy Policy, Elsevier, vol. 39(5), pages 2899-2909, May.
    17. Chen, Z.M. & Chen, G.Q., 2011. "An overview of energy consumption of the globalized world economy," Energy Policy, Elsevier, vol. 39(10), pages 5920-5928, October.
    18. Matthew C. Roberts, 2005. "Technical analysis and genetic programming: Constructing and testing a commodity portfolio," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(7), pages 643-660, July.
    19. Terence Tai-Leung Chong & Wing-Kam Ng, 2008. "Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30," Applied Economics Letters, Taylor & Francis Journals, vol. 15(14), pages 1111-1114.
    20. Neely, Christopher J. & Weller, Paul A. & Ulrich, Joshua M., 2009. "The Adaptive Markets Hypothesis: Evidence from the Foreign Exchange Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(2), pages 467-488, April.
    21. Cialenco, Igor & Protopapadakis, Aris, 2011. "Do technical trading profits remain in the foreign exchange market? Evidence from 14 currencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(2), pages 176-206, April.
    22. Allen, Franklin & Karjalainen, Risto, 1999. "Using genetic algorithms to find technical trading rules," Journal of Financial Economics, Elsevier, vol. 51(2), pages 245-271, February.
    23. Xia, X.H. & Chen, G.Q., 2012. "Energy abatement in Chinese industry: Cost evaluation of regulation strategies and allocation alternatives," Energy Policy, Elsevier, vol. 45(C), pages 449-458.
    24. Sylvie Geisendorf, 2011. "Internal selection and market selection in economic Genetic Algorithms," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 817-841, December.
    25. Alexandros E. Milionis & Evangelia Papanagiotou, 2013. "Decomposing the predictive performance of the moving average trading rule of technical analysis: the contribution of linear and non-linear dependencies in stock returns," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(11), pages 2480-2494, November.
    26. Jun Wang, 2000. "Trading and hedging in S&P 500 spot and futures markets using genetic programming," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 20(10), pages 911-942, November.
    27. Georgios Vasilakis & Konstantinos Theofilatos & Efstratios Georgopoulos & Andreas Karathanasopoulos & Spiros Likothanassis, 2013. "A Genetic Programming Approach for EUR/USD Exchange Rate Forecasting and Trading," Computational Economics, Springer;Society for Computational Economics, vol. 42(4), pages 415-431, December.
    28. Julián Andrada-Félix & Fernando Fernández-Rodríguez, 2008. "Improving moving average trading rules with boosting and statistical learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 433-449.
    29. Massoud Metghalchi & Juri Marcucci & Yung-Ho Chang, 2012. "Are moving average trading rules profitable? Evidence from the European stock markets," Applied Economics, Taylor & Francis Journals, vol. 44(12), pages 1539-1559, April.
    30. Shambora, William E. & Rossiter, Rosemary, 2007. "Are there exploitable inefficiencies in the futures market for oil?," Energy Economics, Elsevier, vol. 29(1), pages 18-27, January.
    31. Chen, B. & Chen, G.Q., 2007. "Resource analysis of the Chinese society 1980-2002 based on exergy--Part 4: Fishery and rangeland," Energy Policy, Elsevier, vol. 35(4), pages 2079-2086, April.
    32. Xia, X.H. & Huang, G.T. & Chen, G.Q. & Zhang, Bo & Chen, Z.M. & Yang, Q., 2011. "Energy security, efficiency and carbon emission of Chinese industry," Energy Policy, Elsevier, vol. 39(6), pages 3520-3528, June.
    33. Chen, B. & Chen, G.Q., 2007. "Resource analysis of the Chinese society 1980-2002 based on exergy--Part 2: Renewable energy sources and forest," Energy Policy, Elsevier, vol. 35(4), pages 2051-2064, April.
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    2. Day, Min-Yuh & Ni, Yensen, 2023. "Do clean energy indices outperform using contrarian strategies based on contrarian trading rules?," Energy, Elsevier, vol. 272(C).

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