跳至内容
KKT
用户工具
登录
站点工具
搜索
工具
显示页面
修订记录
反向链接
最近更改
媒体管理器
网站地图
登录
>
最近更改
媒体管理器
网站地图
您的足迹:
•
targeted_rrr_cuts
paper:index_tracking_based_on_deep_neural_network
本页面只读。您可以查看源文件,但不能更改它。如果您觉得这是系统错误,请联系管理员。
====== Index tracking based on deep neural network ====== - https://www.sciencedirect.com/science/article/pii/S138904171830439X Deep learning has a strong ability to extract feature representations from data, since it has a great advantage in processing nonlinear and non-stationary data and reflecting nonlinear interactive relationship. This paper proposes to apply deep learning algorithms including deep neural network and deep autoencoder to track index performance and introduces a dynamic weight calculation method to measure the direct effects of the stocks on index. The empirical study takes historical data of Hang Seng Index (HSI) and its constituents to analyze the effectiveness and practicability of the index tracking method. The results show that the index tracking method based on deep neural network has a smaller tracking error, and thus can effectively track the index.
paper/index_tracking_based_on_deep_neural_network.txt
· 最后更改: 2023/11/10 12:13 由
127.0.0.1
页面工具
显示页面
修订记录
反向链接
回到顶部