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Quantifying the effect of investors’ attention on stock market

The investors’ attention has been extensively used to predict the stock market. Different from existing proxies of the investors’ attention, such as the Google trends, Baidu index (BI), we argue the collective attention from the stock trading platforms could reflect the investors’ attention more clo...

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Autores principales: Yang, Zhen-Hua, Liu, Jian-Guo, Yu, Chang-Rui, Han, Jing-Ti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441604/
https://www.ncbi.nlm.nih.gov/pubmed/28542216
http://dx.doi.org/10.1371/journal.pone.0176836
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author Yang, Zhen-Hua
Liu, Jian-Guo
Yu, Chang-Rui
Han, Jing-Ti
author_facet Yang, Zhen-Hua
Liu, Jian-Guo
Yu, Chang-Rui
Han, Jing-Ti
author_sort Yang, Zhen-Hua
collection PubMed
description The investors’ attention has been extensively used to predict the stock market. Different from existing proxies of the investors’ attention, such as the Google trends, Baidu index (BI), we argue the collective attention from the stock trading platforms could reflect the investors’ attention more closely. By calculated the increments of the attention volume for each stock (IAVS) from the stock trading platforms, we investigate the effect of investors’ attention measured by the IAVS on the movement of the stock market. The experimental results for Chinese Securities Index 100 (CSI100) show that the BI is significantly correlated with the returns of CSI100 at 1% significance level only in 2014. However, it should be emphasized that the correlation of the new proposed measure, namely IAVS, is significantly at 1% significance level in 2014 and 2015. It shows that the effect of the measure IAVS on the movement of the stock market is more stable and significant than BI. This study yields important invest implications and better understanding of collective investors’ attention.
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spelling pubmed-54416042017-06-06 Quantifying the effect of investors’ attention on stock market Yang, Zhen-Hua Liu, Jian-Guo Yu, Chang-Rui Han, Jing-Ti PLoS One Research Article The investors’ attention has been extensively used to predict the stock market. Different from existing proxies of the investors’ attention, such as the Google trends, Baidu index (BI), we argue the collective attention from the stock trading platforms could reflect the investors’ attention more closely. By calculated the increments of the attention volume for each stock (IAVS) from the stock trading platforms, we investigate the effect of investors’ attention measured by the IAVS on the movement of the stock market. The experimental results for Chinese Securities Index 100 (CSI100) show that the BI is significantly correlated with the returns of CSI100 at 1% significance level only in 2014. However, it should be emphasized that the correlation of the new proposed measure, namely IAVS, is significantly at 1% significance level in 2014 and 2015. It shows that the effect of the measure IAVS on the movement of the stock market is more stable and significant than BI. This study yields important invest implications and better understanding of collective investors’ attention. Public Library of Science 2017-05-23 /pmc/articles/PMC5441604/ /pubmed/28542216 http://dx.doi.org/10.1371/journal.pone.0176836 Text en © 2017 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yang, Zhen-Hua
Liu, Jian-Guo
Yu, Chang-Rui
Han, Jing-Ti
Quantifying the effect of investors’ attention on stock market
title Quantifying the effect of investors’ attention on stock market
title_full Quantifying the effect of investors’ attention on stock market
title_fullStr Quantifying the effect of investors’ attention on stock market
title_full_unstemmed Quantifying the effect of investors’ attention on stock market
title_short Quantifying the effect of investors’ attention on stock market
title_sort quantifying the effect of investors’ attention on stock market
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441604/
https://www.ncbi.nlm.nih.gov/pubmed/28542216
http://dx.doi.org/10.1371/journal.pone.0176836
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