Research on the relationship between investor network interaction and stock price fluctuation——Take “SSE e interaction” as an example

Whether the stock price fluctuation in emerging markets such as China is dominated by “information efficiency” or “noise” has aroused many scholars’ disputes. Based on the “SSE e interaction” Q & A data, this paper uses the fixed effect model to study the impact of “SSE e interaction” on the sto...

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Main Author: Ren Chunmiao
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/11/e3sconf_netid2021_01072.pdf
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spelling doaj-efd6aa7a79b74564a47dda66031d2f162021-02-18T10:42:57ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012350107210.1051/e3sconf/202123501072e3sconf_netid2021_01072Research on the relationship between investor network interaction and stock price fluctuation——Take “SSE e interaction” as an exampleRen Chunmiao0Business School of Henan UniversityWhether the stock price fluctuation in emerging markets such as China is dominated by “information efficiency” or “noise” has aroused many scholars’ disputes. Based on the “SSE e interaction” Q & A data, this paper uses the fixed effect model to study the impact of “SSE e interaction” on the stock price synchronization from 3 perspectives: the lag of the company’s response, the pertinence and the negative emotional tendency of investors. The research found that the targeted response of listed companies to investors’ questions in the “SSE e interaction” significantly improved the synchronization of stock prices, and the lag of the response may be the result of selective and tendentious information dissemination. The negative sentiment of investors has certain information content, but excessive negative sentiment may bring noise to the market. Our research shows that information and “noise” coexist in China’s capital market, but “noise” is still the dominant factor in stock price fluctuations.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/11/e3sconf_netid2021_01072.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Ren Chunmiao
spellingShingle Ren Chunmiao
Research on the relationship between investor network interaction and stock price fluctuation——Take “SSE e interaction” as an example
E3S Web of Conferences
author_facet Ren Chunmiao
author_sort Ren Chunmiao
title Research on the relationship between investor network interaction and stock price fluctuation——Take “SSE e interaction” as an example
title_short Research on the relationship between investor network interaction and stock price fluctuation——Take “SSE e interaction” as an example
title_full Research on the relationship between investor network interaction and stock price fluctuation——Take “SSE e interaction” as an example
title_fullStr Research on the relationship between investor network interaction and stock price fluctuation——Take “SSE e interaction” as an example
title_full_unstemmed Research on the relationship between investor network interaction and stock price fluctuation——Take “SSE e interaction” as an example
title_sort research on the relationship between investor network interaction and stock price fluctuation——take “sse e interaction” as an example
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description Whether the stock price fluctuation in emerging markets such as China is dominated by “information efficiency” or “noise” has aroused many scholars’ disputes. Based on the “SSE e interaction” Q & A data, this paper uses the fixed effect model to study the impact of “SSE e interaction” on the stock price synchronization from 3 perspectives: the lag of the company’s response, the pertinence and the negative emotional tendency of investors. The research found that the targeted response of listed companies to investors’ questions in the “SSE e interaction” significantly improved the synchronization of stock prices, and the lag of the response may be the result of selective and tendentious information dissemination. The negative sentiment of investors has certain information content, but excessive negative sentiment may bring noise to the market. Our research shows that information and “noise” coexist in China’s capital market, but “noise” is still the dominant factor in stock price fluctuations.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/11/e3sconf_netid2021_01072.pdf
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