Predicting Manager's Behaviour with BP Neural Network

被引:1
|
作者
Fan, Huiling [1 ]
机构
[1] Shanghai Univ, Sch Management, 99 Shangda Rd, Shanghai, Peoples R China
关键词
D O I
10.1088/1742-6596/1168/3/032032
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
There have been many researches on stock trend forecasting in existing literatures, however, there is little research on the actions which managers will take basing on stock price change. This article is based on this point to study the stock market and the actions that manager will take. Based on the proposed automatic selection model, we put it on the stock market to study whether the managers will sell shares in the company with the change of stock price. The results is that the selection of model has good generalization ability, and when the predicted value is higher than the actual value, the manager will sell off the company's shares, and vice versa. However, the accuracy of prediction will be further improved by combining factors such as company size and policy environment.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] BP Neural Network for Company's Financial Distress Predicting
    Ke Jianfei
    [J]. 2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL III, 2010, : 293 - 296
  • [2] Application of BP Neural Network in Predicting Deformation
    Wang, Rui
    Yu, Guangrui
    Chen, Yu
    Jia, Zhanyong
    Zhang, Jun
    Liu, Zhichao
    Wang, Ping
    Yuan, Pengcai
    Wu, Yunbilige
    [J]. 2017 4TH INTERNATIONAL SYMPOSIUM ON COMPUTER, COMMUNICATION, CONTROL AND AUTOMATION (3CA 2017), 2017, : 107 - 112
  • [3] Predicting of Wool fabrics Pilling with BP Neural Network
    Cao, Jian-da
    [J]. TEXTILE BIOENGINEERING AND INFORMATICS SYMPOSIUM PROCEEDINGS, VOLS 1 AND 2, 2008, : 509 - 513
  • [4] Predicting the formation uniformity of composite autoclave by BP neural network
    Lin Y.
    Guan Z.
    [J]. Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2021, 47 (06): : 1271 - 1276
  • [5] Oil production predicting with modified BP neural network method
    Liu, Haohan
    Li, Wei
    Zhang, Songlin
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND SERVICE SYSTEM (CSSS), 2014, 109 : 146 - 148
  • [6] Application of BP neural network in predicting the cement materials performance
    Deng, Xue-Jie
    Kang, Tao
    Wang, Dong-Sheng
    [J]. Journal of Chemical and Pharmaceutical Research, 2014, 6 (06) : 1681 - 1688
  • [7] Application of BP Neural Network for Predicting Anode Accuracy in ECM
    Shang, G. Q.
    Sun, C. H.
    [J]. ISISE 2008: INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING, VOL 2, 2008, : 428 - 432
  • [8] BP Neural Network Application Model of Predicting the Apple Hardness
    Pan, He
    Yang, Jian
    Shi, Ying
    Li, Taihao
    [J]. JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE, 2015, 12 (09) : 2802 - 2807
  • [9] Predicting yarn unevenness using improved BP Neural Network
    Li Huijun
    Wang Xinhou
    [J]. ADVANCES IN TEXTILE ENGINEERING, 2011, 331 : 219 - 222
  • [10] Optimized BP neural network algorithm for predicting ship trajectory
    Ma, Shexiang
    Liu, Shanshan
    Meng, Xin
    [J]. PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020), 2020, : 525 - 532