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Investor Sentiment and Stock Returns During the COVID-19 Pandemic

In this paper, we regard the Baidu index as an indicator of investors' attention to China's epidemic stocks. We believe that when seeking information to guide investment decisions, investor sentiment is usually affected by the information provided by the Baidu search engine, which may caus...

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Autores principales: Jiang, Baozhen, Zhu, Haojie, Zhang, Jinhua, Yan, Cheng, Shen, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329237/
https://www.ncbi.nlm.nih.gov/pubmed/34354650
http://dx.doi.org/10.3389/fpsyg.2021.708537
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author Jiang, Baozhen
Zhu, Haojie
Zhang, Jinhua
Yan, Cheng
Shen, Rui
author_facet Jiang, Baozhen
Zhu, Haojie
Zhang, Jinhua
Yan, Cheng
Shen, Rui
author_sort Jiang, Baozhen
collection PubMed
description In this paper, we regard the Baidu index as an indicator of investors' attention to China's epidemic stocks. We believe that when seeking information to guide investment decisions, investor sentiment is usually affected by the information provided by the Baidu search engine, which may cause stock prices to fluctuate. Therefore, we constructed a GARCH extended model including the Baidu index to predict the return of epidemic stocks and compared it with the benchmark model. The empirical research in this paper finds that the forecast model including the Baidu index is significantly better than the benchmark model. This has important reference value both for investors in predicting stock trends and for the government's formulation of policies to prevent excessive stock market volatility.
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spelling pubmed-83292372021-08-04 Investor Sentiment and Stock Returns During the COVID-19 Pandemic Jiang, Baozhen Zhu, Haojie Zhang, Jinhua Yan, Cheng Shen, Rui Front Psychol Psychology In this paper, we regard the Baidu index as an indicator of investors' attention to China's epidemic stocks. We believe that when seeking information to guide investment decisions, investor sentiment is usually affected by the information provided by the Baidu search engine, which may cause stock prices to fluctuate. Therefore, we constructed a GARCH extended model including the Baidu index to predict the return of epidemic stocks and compared it with the benchmark model. The empirical research in this paper finds that the forecast model including the Baidu index is significantly better than the benchmark model. This has important reference value both for investors in predicting stock trends and for the government's formulation of policies to prevent excessive stock market volatility. Frontiers Media S.A. 2021-07-20 /pmc/articles/PMC8329237/ /pubmed/34354650 http://dx.doi.org/10.3389/fpsyg.2021.708537 Text en Copyright © 2021 Jiang, Zhu, Zhang, Yan and Shen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Jiang, Baozhen
Zhu, Haojie
Zhang, Jinhua
Yan, Cheng
Shen, Rui
Investor Sentiment and Stock Returns During the COVID-19 Pandemic
title Investor Sentiment and Stock Returns During the COVID-19 Pandemic
title_full Investor Sentiment and Stock Returns During the COVID-19 Pandemic
title_fullStr Investor Sentiment and Stock Returns During the COVID-19 Pandemic
title_full_unstemmed Investor Sentiment and Stock Returns During the COVID-19 Pandemic
title_short Investor Sentiment and Stock Returns During the COVID-19 Pandemic
title_sort investor sentiment and stock returns during the covid-19 pandemic
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329237/
https://www.ncbi.nlm.nih.gov/pubmed/34354650
http://dx.doi.org/10.3389/fpsyg.2021.708537
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