|本期目录/Table of Contents|

[1]曹书波,蔡超,许启发. 开放式基金市场羊群效应研究 ——基于QRNNCCK模型的实证[J].天津大学学报(社会科学版),2017,(5):399-406.
 Cao Shubo,Cai Chao,Xu Qifa. The Research on the Herd Behavioral Effect of OpenEnded Fund Market Based on the Practice of QRNNCCK Model [J].Journal of Tianjin University(Social Science),2017,(5):399-406.
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 开放式基金市场羊群效应研究  ——基于QRNNCCK模型的实证

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《天津大学学报(社会科学版)》[ISSN:1008-4339/CN:12-1290/c]

卷:
期数:
2017年5期
页码:
399-406
栏目:
金融与应用经济
出版日期:
2017-09-15

文章信息/Info

Title:
  The Research on the Herd Behavioral Effect of OpenEnded Fund Market
 Based on the Practice of QRNNCCK Model


作者:
 曹书波12 蔡超3 许启发14
 
(1. 天津大学管理与经济学部, 天津300072; 2. 中国民航大学经济与管理学院, 天津300300;

3. 山东工商学院统计学院, 烟台264005; 4. 合肥工业大学管理学院, 合肥230009)
Author(s):
 Cao Shubo12 Cai Chao3 Xu Qifa14
(1. College of Management and Economics, Tianjin University, Tianjin 300072, China;

2. Economics and Management College, Civil Aviation University of China, Tianjin 300300, China;

3. School of Statistics, Shandong Technology and Business University, Yantai 264005, China;

4. School of Management, Hefei University of Technology, Hefei 230009, China)
关键词:
 摘要: 基于神经网络分位数CCK(以下简记为QRNNCCK)模型的基金市场羊群效应的检验一方面通过分位数回归揭示市场收益对CASD指标整个条件分布的影响另一方面通过神经网络结构模拟市场收益对CASD指标的非线性影响模式。从而很好地解决了羊群效应检验中遇到的两个难题:羊群效应的异质性和非线性关联模式。以开放式基金为研究对象对基金市场羊群效应进行判断实证结果表明:第一与分位数回归CCK 模型相比QRNNCCK模型能获得更好的解释能力和拟合效果第二在各分位点处市场收益对CSAD指标的影响都以市场收益0为分界点呈现非对称性的“V型”特征表明基金市场羊群效应显著而且在不同分位点处具有不同的变化模式表现出异质性第三对基金市场的牛市和熊市进行更细致的对比发现牛市和熊市均随着分位点的提高市场收益对CSAD的影响越来越明显并且牛市与熊市的表现存在差异。
Keywords:
 Keywords: openended fund herd behavioral effect quantile regression of neural network CSAD
文献标志码:
A
摘要:
 关键词: 开放式基金; 羊群效应; 神经网络分位数回归; CSAD
Abstract:
 Abstract: Based on the testing of QRNNCCK model for openended fund market’s herd behavioral effect, the influence of market benefits on the CASD index conditional distribution has been revealed by quantile regression; besides, the nonlinear influence model of market benefits simulated by neural network structure on CASD index has also been determined. In this way, the two difficult issues existing in the herd behavioral effect testing have been solved: the heterogeneity and nonlinear relation pattern of herd behavioral effect. Setting the openended fund as the research example and by the herd behavioral effect of fund market, the results show that, firstly, comparing to quantile regressionCCK model, QRNNCCK can obtain strong explanatory and good fitting results; Secondly, the impact of the market return to CSAD displays the characteristics of asymmetric “Vtype” at each quantile site, and the cutoff point is 0, which shows that herd behavioral effect works out obviously in the fund market, while there is different changing model in different quantile; thirdly, after a more detailed comparison between the bull market and bear market of fund market, with the increase of quantile of the two markets, market effect has a more obvious influence on CSAD. At the same time, there is a difference between the performance of bull market and bear market.

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