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作 者:燕汝贞[1] 岳定 吴栩[1] 高伟 YAN Ru-zhen;YUE Ding;WU Xu;GAO Wei(School of Business,Chengdu University of Technology,Chengdu 610059,China;School of Business,Sichuan Agricultural University,Chengdu,611830,China)
机构地区:[1]成都理工大学商学院,四川成都610059 [2]四川农业大学商学院,四川成都611830
出 处:《运筹与管理》2022年第11期200-205,共6页Operations Research and Management Science
基 金:国家自然科学基金资助项目(71903017,71501018,71972136);成都市哲学社会科学规划项目(2022C17,2022C14);成都理工大学哲学科学研究基金项目(YJ2022-YB009)。
摘 要:针对中国股指期货市场的流动性问题,利用多重分形去趋势波动法研究股指期货市场流动性非线性特征及其成因,并对比分析不同期限下期货市场流动性多重分形程度的差异;进一步,采用趋势熵维数方法识别期货市场流动性的变化趋势,还利用识别正确率和随机识别正确率验证该方法有效性和准确性。研究发现,中国股指期货市场具有明显的多重分形特征;与合约期限较短的股指期货相比,合约期限较长的股指期货流动性多重分形程度更低;股指期货市场流动性多重分形特征主要是流动性时间序列的相关多重分形和分布多重分形造成的;趋势熵维数方法可有效预测期货市场流动性的变化趋势。This paper uses the multifractal detrend fluctuation method to study the non-linear characteristics of the liquidity in Chinese stock index futures markets,and compares the multifractal degree of liquidity among the different futures contracts.We also identify the trended fluctuations by tendency entropy dimension and analyze the validity for the correct rate of identification by stochastic correct rate.The results show that the nonlinear characteristics of liquidity is obvious in Chinese stock index futures markets,and this nonlinearity is largely manifested as multifractal characteristics.The liquidity of other stock index futures contracts is less multifractalthan the short-term contracts.The sources of multifractality are due to both the related multifractality and distributed multifractality.The trended fluctuations of liquidity can be efficiently identified by the tendency entropy dimension method.
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