Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
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Article Number | 02009 | |
Number of page(s) | 4 | |
Section | Big Data Environment Management Application and Industry Research | |
DOI | https://doi.org/10.1051/e3sconf/202125302009 | |
Published online | 06 May 2021 |
Individual investor attention and stock market performance——Based on big data measurement
School of Economics and Management, Beijing Jiaotong University Beijing, China
Corresponding author: acelinliu0908@163.com
Investor attention is a Sizerce resource, and only the information that investors pay attention to can be reflected in the stock market through transactions. Considering about the development of big data, this paper uses data mining and crawling software to crawl the daily indicators of individual investor attention in 2019. Through a fixed-effect panel data regression model, this paper examines the relationship of personal attention and stock market performance indicators over the same period. This paper found that individual investors’ attention can have a significant positive correlation with the liquidity and profitability indicators of stock market performance.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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