Research on the Effect of Fund Corporate Governance on Fund Performance Based on BP Neural Network

DOI

10.2991/978-94-6463-010-7_46How to use a DOI?

Keywords

Fund Management Company; Shareholding Structure; Board Structure; BP Neural Network; Fund Performance

Abstract

With the continuous improvement of China’s capital market, the fund industry has developed rapidly. However, behind its development, fund management companies also have some problems, such as principal-agent problems caused by principals, agents and custodians. By summarizing the existing research, starting from the ownership structure and board structure, this paper introduces BP neural network to establish a regression fitting model on the impact of fund management corporate governance on fund performance, and selects the data for training and testing. The results show that BP neural network has certain accuracy on the impact of fund management corporate governance on fund performance, which enriches the relevant research.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zhipeng Zhao
AU  - Shujun Ye
PY  - 2022
DA  - 2022/12/02
TI  - Research on the Effect of Fund Corporate Governance on Fund Performance Based on BP Neural Network
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 438
EP  - 444
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_46
DO  - 10.2991/978-94-6463-010-7_46
ID  - Zhao2022
ER  -