Information design and strategic disclosure in IPO underwriting

This paper develops an information design model to analyze how underwriters strategically disclose firm-specific information prior to equity issuance. The model predicts the existence of discriminatory disclosure: for high-quality firms, the disclosed offering price is positively correlated with firm fundamentals, whereas for low-quality firms, this correlation breaks down. Empirical evidence from China’s stock market under a market-oriented registration system supports this theoretical prediction, based on a proprietary dataset of IPO valuations sourced exclusively from underwriters’ internal pricing reports.

Authors

Institutions

Publication Details

Journal
Applied Economics
Published
2026-07-23
DOI
https://doi.org/10.1080/00036846.2026.2705969
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Information design and strategic disclosure in IPO underwriting

Y Zhang, Zhongjie Fan, Xiaoquan Zhu
Applied Economics
Auditing, Earnings Management, Governance
article

Information design and strategic disclosure in IPO underwriting

Y Zhang, Zhongjie Fan, Xiaoquan Zhu
article en

Abstract

This paper develops an information design model to analyze how underwriters strategically disclose firm-specific information prior to equity issuance. The model predicts the existence of discriminatory disclosure: for high-quality firms, the disclosed offering price is positively correlated with firm fundamentals, whereas for low-quality firms, this correlation breaks down. Empirical evidence from China’s stock market under a market-oriented registration system supports this theoretical prediction, based on a proprietary dataset of IPO valuations sourced exclusively from underwriters’ internal pricing reports.

Applied Economics
University of International Business and Economics (CN), Capital Group (United States) (US)
Openalex Percentile: Top 4%
Auditing, Earnings Management, Governance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.