Yang, Yishuai and Zhang, Xuan and Liu, Shuyi and Du, Wenke (2023) Tokyo Stock Exchange Prediction with a Hybrid Model of Lightgbm and DNN. In: Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26–28, 2023, Nanjing, China.
![[thumbnail of 55268.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "55268.pdf")
PDF
55268.pdf
Download (289kB)
Abstract
As stock investment has become an increasingly mainstream way of wealth management, researchers have increasingly attached importance to the study of stock price prediction, and constantly used a variety of methods to predict its price trend. In this paper, we pay attention to the JPX Tokyo Stock Ex
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:32 |
| Last Modified: | 17 Apr 2026 02:37 |
| URI: | http://eprints.eai.eu/id/eprint/44193 |
Actions (login required)
- View Item