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Cited by 2,139

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Corporate tax avoidance and stock price crash risk: Firm-level analysis

Open access
Kim, Jeong-Bon, Li, Yinghua, Zhang, Liandong·2011·Journal of Financial Economics

Abstract

Using a large sample of U.S. firms for the period 1995-2008, we provide strong and robust evidence that corporate tax avoidance is positively associated with firm-specific stock price crash risk. This finding is consistent with the following view: Tax avoidance facilitates managerial rent extraction and bad news hoarding activities for extended periods by providing tools, masks, and justifications for these opportunistic behaviors. The hoarding and accumulation of bad news for extended periods lead to stock price crashes when the accumulated hidden bad news crosses a tipping point, and thus comes out all at once. Moreover, we show that the positive relation between tax avoidance and crash risk is attenuated when firms have strong external monitoring mechanisms such as high institutional ownership, high analyst coverage, and greater takeover threat from corporate control markets.

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Metadata

Authors
Kim, J.-B., Li, Y., & Zhang, L.
Venue
Journal of Financial Economics
Publisher
Elsevier BV
Published
2011-06
Volume
100
Issue
3
Pages
639-662
ISSN
0304-405X (ISSN-L)
OpenAlex
W2130052362
Cited by
2,139
References
2
FWCI
105.25
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Corporate tax avoidance and stock price crash risk: Firm-level analysis. https://app.cochat.ai/papers/10.1016/j.jfineco.2010.07.007
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Kim, J.-B., Li, Y., & Zhang, L. (2011). Corporate tax avoidance and stock price crash risk: Firm-level analysis. Journal of Financial Economics. https://doi.org/10.1016/j.jfineco.2010.07.007

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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.