Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 538-541.doi: 10.11896/j.issn.1002-137X.2016.6A.128

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Chinese Stock Market Efficiency Testing Based on Genetic Programming

WANG Hong-xia and CAO Bo   

  • Online:2018-11-14 Published:2018-11-14

Abstract: There is a contradiction between the modern capital market theory and the financial investment practice.And the contradiction is about the effective market hypothesis and the technical analysis.The use of the popular technology trading rules to examine the effectiveness of the stock market may lead to two types of conclusion deviation.The tree structure is used to represent the candidate solutions in genetic programming which can well describe the technical trading rules.The genetic programming algorithm is used to generate technical trading strategy in this paper.The strategy is used to test Shanghai indexes and five stocks in the Shanghai and Shenzhen stock markets.The back test results show that genetic programming generates the best technical trading strategy with significant excess profit compared with buy-and-hold strategy and the usual popular technical indicator.Therefore,the conclusion can be made that Chinese stock market has not achieved weak-form efficiency.

Key words: Genetic programming,Market efficiency,Chinese stock market

[1] 魏玉根.技术交易系统与我国股票市场有效性的实证分析[J].经济科学,2000(2):56-63
[2] 邓杰,唐国兴.中国股票市场技术交易规则有效性的实证研究[J].华东经济管理,2009,23(5):135-140
[3] 林赵华.股票投资周CCI指标策略收益的检验分析[J].广西财经学院学报,2009,22(2):64-69
[4] 曾劲松.技术分析与中国股票市场有效性[J].财经问题研究,2005(8):27-30
[5] Koza J R.Genetic Programming:On the Programming of Computers by Means of Natural Selection [M].Cambridge:The MIT Press,1992
[6] 朱振国,宋军,乜堪雄.基于Vague 集相似度量的股票选择[J].计算机科学,2008,35(7):199-212
[7] 瞿慧.基于遗传编程的上证50 指数技术交易规则研究[J].管理科学,2010,23(5):103-113
[8] 瞿慧,刘烨,李娟.基于遗传编程的中国股票市场有效性新检验[J].控制与决策,2011,347(23):137-142

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