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Cited by 349

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Competitive Costs of Disclosure by Biotech IPOs

GUO, RE‐JIN, LEV, BARUCH, ZHOU, NAN·2004·Journal of Accounting Research

Abstract

This study empirically examines the impact of various competitive cost proxies on the extent of product‐related information disclosed by biotech initial public offerings (IPOs) in their prospectuses. The choice of biotech companies, which operate in a fiercely competitive environment, crystalizes the importance of competitive disclosure costs. The focus on product‐related information is aimed at a disclosure set for which potential competitive harm is a priori substantial. Our empirical analyses establish three disclosure determinants: the stage of product development, availability of patent protection, and venture capital backing. Additionally, we find the relative size of ownership retained by pre‐IPO owners to be negatively related to the extent of disclosure, as predicted by signaling models. We also document the expected inverse relation between the extent of information conveyed by the biotech IPOs and widely used measures of information asymmetry: the bid‐ask spread and quoted depth, as well as stock return volatility.

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Crossref · 10.1111/j.1475-679x.2004.00140.x

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Metadata

Authors
GUO, R., LEV, B., & ZHOU, N.
Venue
Journal of Accounting Research
Publisher
Wiley
Published
2004-04-15
Volume
42
Issue
2
Pages
319-355
ISSN
  • 0021-8456 (ISSN-L)
  • 1475-679X
OpenAlex
W2044148313
Cited by
349
References
3
FWCI
49.56
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Competitive Costs of Disclosure by Biotech IPOs. https://app.cochat.ai/papers/10.1111/j.1475-679x.2004.00140.x
The paper
GUO, R., LEV, B., & ZHOU, N. (2004). Competitive Costs of Disclosure by Biotech IPOs. Journal of Accounting Research. https://doi.org/10.1111/j.1475-679x.2004.00140.x

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.