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Cited by 269

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Internet searching and stock price crash risk: Evidence from a quasi-natural experiment

Open access
Xu, Yongxin, Xuan, Yuhao, Zheng, Gaoping·2021·Journal of Financial Economics
DOI 10.1016/j.jfineco.2021.03.003
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Abstract

Abstract In 2010, Google unexpectedly withdrew its searching business from China, reducing investors’ ability to find information online. The stock price crash risk for firms searched for more via Google before its withdrawal subsequently increases by 19%, suggesting that Internet searching facilitates investors’ information processing. The sensitivity of stock returns to negative Internet posts also rises by 36%. The increase in crash risk is more pronounced when firms are more likely to hide adverse information and when information intermediaries are less effective in assisting investors’ information processing. In addition, liquidity (price delay) decreases (increases) after Google's withdrawal.

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Metadata

Authors
Xu, Y., Xuan, Y., & Zheng, G.
Venue
Journal of Financial Economics
Publisher
Elsevier BV
Published
2021-07
Volume
141
Issue
1
Pages
255-275
ISSN
0304-405X (ISSN-L)
DOI
10.1016/j.jfineco.2021.03.003
OpenAlex
W3134312774
Cited by
269
References
60
FWCI
30.23
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Internet searching and stock price crash risk: Evidence from a quasi-natural experiment. https://app.cochat.ai/papers/10.1016/j.jfineco.2021.03.003
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Xu, Y., Xuan, Y., & Zheng, G. (2021). Internet searching and stock price crash risk: Evidence from a quasi-natural experiment. Journal of Financial Economics. https://doi.org/10.1016/j.jfineco.2021.03.003

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.