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Cited by 594

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

The Information Content of IPO Prospectuses

Open access
Hanley, Kathleen Weiss, Hoberg, Gerard·2010·Review of Financial Studies

Abstract

Using word content analysis, we decompose information in the initial public offering prospectus into its standard and informative components. Greater informative content, as a proxy for premarket due diligence, results in more accurate offer prices and less underpricing, because it decreases the issuing firm's reliance on bookbuilding to price the issue. The opposite is true for standard content. Greater content from high reputation underwriters and issuing firm managers, through Management's Discussion and Analysis, contribute to the informativeness of the prospectus. Our results suggest that premarket due diligence and disclosure by underwriters and issuers can serve as a substitute for costly bookbuilding. The Author 2010. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org., Oxford University Press.

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Crossref · 10.1093/rfs/hhq024

Cites

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Metadata

Authors
Hanley, K. W., & Hoberg, G.
Venue
Review of Financial Studies
Published
2010-04-29
Volume
23
Issue
7
Pages
2821-2864
ISSN
  • 0893-9454 (ISSN-L)
  • 1465-7368
OpenAlex
W2165055178
Cited by
594
References
38
FWCI
58.52
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Information Content of IPO Prospectuses. https://app.cochat.ai/papers/10.1093/rfs/hhq024
The paper
Hanley, K. W., & Hoberg, G. (2010). The Information Content of IPO Prospectuses. Review of Financial Studies. https://doi.org/10.1093/rfs/hhq024

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.