The Construction of Investor Sentiment Index Based on Big Data and Its Impact on Enterprise Investment and Financing
Authors
Yang Xin1, Yinning He2, *
1Institute of Financial Research, Yunnan University of Finance and Economics, Kunming, 650221, Yunnan, China
2School of Economics, Yunnan University of Finance and Economics, Kunming, 650221, Yunnan, China
*Corresponding author.
Email: 2789657342@dlvtc.edu.cn
Corresponding Author
Yinning He
Available Online 23 December 2022.
- DOI
- 10.2991/978-94-6463-034-3_133How to use a DOI?
- Keywords
- Investor sentiment; Equity financing; Business investment
- Abstract
Using the sample data of Chinese listed companies from 2002 to 2014, this paper examines the relationship between investor sentiment and corporate investment and financing. The results show that in the short term, investor sentiment stimulates investment and improves business performance. In the long run, the effect is still persistent. Strengthening the management and control of investor sentiment is helpful to reduce the financing cost of enterprises and improve the long-term business performance of enterprises.
- 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.
Cite this article
TY - CONF AU - Yang Xin AU - Yinning He PY - 2022 DA - 2022/12/23 TI - The Construction of Investor Sentiment Index Based on Big Data and Its Impact on Enterprise Investment and Financing BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 1294 EP - 1302 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_133 DO - 10.2991/978-94-6463-034-3_133 ID - Xin2022 ER -