摘要
在提出"上涨或下跌动量效应""高位或低位反转效应"概念的基础上,对股票市场动量生命周期的概念进行了修正完善,随后结合股票市场是分形市场的实际情况,构建了"趋势熵维数"作为动量生命周期阶段的识别测度,并以上海证券交易所的全部行业指数为样本,对趋势熵维数识别动量生命周期阶段的有效性进行了实证分析。研究表明,趋势熵维数能有效识别动量生命周期阶段,是识别动量生命周期阶段的有效测度。
This paper puts forward the concepts such as "increasing or decreasing momentum effect" and "high and low contrarian effect". On this basis, the concept of momentum life cycle has been modified and improved. Then, the "tendency entropy dimension" has been built as the recognition measure of momentum life cycle stages on the basis of the fractal market, and an empirical analysis is made on the effectiveness of stages identification the momentum life cycle by trend entropy dimension. This study has found that, the momentum life cycle stages can be accurately identified with the tendency entropy dimension, which has an valid measure to identify the momentum life cycle stages.
出处
《系统工程》
CSSCI
北大核心
2017年第9期36-44,共9页
Systems Engineering
基金
教育部人文社科青年基金资助项目(17YJC790168)
国家自然科学基金青年项目(71501018)
四川省软科学计划项目(2017ZR0205
2017ZR0204)
成都理工大学哲学社会科学研究基金资助项目(YJ2017-NS007
YJ2017-NS010)
成都理工大学中青年骨干教师培养计划项目(KYGG201713
KYGG201714)
关键词
趋势熵维数
动量生命周期
阶段识别
分形市场
Tendency Entropy Dimension
Momentum Life Cycle
Stages Identification
Fractal Market