Analysis of the Degree of Influence between Network Public Opinion and Its Response to Corporate Sales and Stock Prices: Taking the Xinjiang Cotton Incident as an Example
- DOI
- 10.2991/ahis.k.220601.035How to use a DOI?
- Keywords
- Online Public Opinion; Online Communication Index; Live Sales; Changes in Stock Prices; Regression Analysis
- Abstract
Online public opinion events will have an impact on the company’s sales and the stock price of listed companies, and the analysis of the impact can provide decision-making reference for enterprises to deal with public opinion. Taking “Xinjiang cotton” event which got higher attention from netizens as an example, the ADF stability test is conducted on the online communication index of public opinion, the live broadcast sales data and the daily closing stock price data of related brands. Then the unitary linear regression method is used to carry out the correlation test, so as to obtain the impact of online public opinion and its impact degree on the sales and stock price of related enterprises. The R-squared mean value of the regression analysis of online public opinion and the sales of related domestic brands which responded positively exceeds 0.8, showing a strong positive impact. The regression analysis results of online public opinion and related listed companies’ stock prices show that stock price fluctuations are related to the online communication index, but because there are many influence factors of stock price, different companies show different degrees of impact.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Ming Zhao AU - Yiwen Li AU - Shoujin Wang AU - Yingxu Tai PY - 2022 DA - 2022/06/02 TI - Analysis of the Degree of Influence between Network Public Opinion and Its Response to Corporate Sales and Stock Prices: Taking the Xinjiang Cotton Incident as an Example BT - Proceedings of the 2021 International conference on Smart Technologies and Systems for Internet of Things (STS-IOT 2021) PB - Atlantis Press SP - 182 EP - 185 SN - 2589-4919 UR - https://doi.org/10.2991/ahis.k.220601.035 DO - 10.2991/ahis.k.220601.035 ID - Zhao2022 ER -