We analyze the informational properties of hybrid IPO auctions using a large and unique database of institutional bids from Chinese IPO auctions. We find strong evidence of information production by institutions about the intrinsic values of IPO firms and of underwriters extracting and using this information in IPO pricing. The IPO offer price is more sensitive to bids from institutions able to produce more precise information. In particular, the offer price is more sensitive to bids from domestic institutions, compared to bids from foreign institutions who likely have less knowledge or experience about Chinese firms and the Chinese financial market due to geographic, legal, and cultural distances. Institutional bidding information also has predictive power for IPO initial returns and long-run post-IPO stock returns. Finally, institutions are compensated for their information production: institutions able to produce more precise information get significantly larger allocations in better performing IPOs; this difference in IPO allocations between better and worse performing IPOs is greater for institutions able to produce more precise information. Overall, “dirty” uniform price hybrid IPO auctions appear to be a reasonably effective alternative to the traditional book-building IPO mechanism, so that our analysis has important implications for IPO mechanism reform in developing countries.
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14 July 2025
Research Article|
July 14 2025
Information Production by Institutions and Information Extraction by Underwriters in Hybrid IPO Auctions Available to Purchase
Thomas J. Chemmanur;
Thomas J. Chemmanur
Finance Department,
Carroll School of Management, Boston College
, Chestnut Hill, MA 02467, USA
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Pengfei Ma;
Pengfei Ma
Lee Kong Chian School of Business,
Singapore Management University
, 50 Stamford Road, Singapore
178899
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Chaopeng Wu;
Chaopeng Wu
Department of Finance, School of Management, Xiamen University
, Xiamen, 361005, China
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Qianqian Yu
Qianqian Yu
Perella Department of Finance,
College of Business, Lehigh University,
, Bethlehem, PA 18015,USA
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For helpful comments and discussions, we thank Anup Aggarwal, Onur Bayar, Paul Brockman, Pengda Fan, Kathleen Hanley, Jack He, Shan He, Jiekun Huang, Karthik Krishnan, Xi Li, Bibo Liu, Mark Liu, Debarshi Nandy, Nandu Nayar, Jay Ritter, Jo-Ann Suchard, Xuan Tian, and seminar participants at Boston College, Lehigh University, Hong Kong Polytechnic University, and Xiamen University, and conference participants at the Western Finance Association Annual Meeting and Financial Management Association Annual Meeting. Chaopeng Wu acknowledges support from the Major projects of the National Social Fund of China (grant number: 22ZDA047). We alone are responsible for any remaining errors and omissions.
Online ISSN: 2693-9320
Print ISSN: 2693-9312
© 2025 T. J. Chemmanur, P. Ma, C. Wu and Q. Yu
2025
T. J. Chemmanur, P. Ma, C. Wu and Q. Yu
Licensed re-use rights only
Review of Corporate Finance (2025) 5 (3-4): 291–348.
Citation
Chemmanur TJ, Ma P, Wu C, Yu Q (2025), "Information Production by Institutions and Information Extraction by Underwriters in Hybrid IPO Auctions". Review of Corporate Finance, Vol. 5 No. 3-4 pp. 291–348, doi: https://doi.org/10.1561/114.00000076
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