Uniform price auctions with pre-announced revenue targets: Evidence from China's SEOs
Shenghao Gao, Peyman Khezr, Armin Pourkhanali

TL;DR
This paper analyzes China's SEO auction mechanism with pre-announced revenue targets, showing it encourages truthful bidding and achieves near-optimal revenue, supported by theoretical and empirical evidence.
Contribution
It introduces a novel auction framework with revenue targets, demonstrating its advantages over standard auctions through theoretical analysis and empirical validation.
Findings
Pre-announced revenue targets lead to more truthful bidding.
Auction performance closely matches truthful bidding prices.
Optimal share allocation aligns with the revenue target divided by reserve price.
Abstract
This study explores the performance of auctions in China's seasoned equity offering (SEO) market, both theoretically and empirically. In these auctions, issuers must commit to a pre-announced revenue target and a maximum number of shares available for auction. We use a common value framework to analyze this auction mechanism, detailing its operation, share allocation, and pricing. The theoretical findings suggest that when buyers bid truthfully, the seller's optimal strategy is to set the total share quantity equal to the target revenue divided by the reserve price. We demonstrate that committing to a target revenue results in a higher level of truthful bidding compared to a standard uniform-price auction without any revenue commitment. We empirically test our theoretical findings using data from China's SEO markets. First, we assess the impact of various issuer strategies on firm-level…
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Taxonomy
TopicsAuction Theory and Applications · Corporate Finance and Governance · Auditing, Earnings Management, Governance
MethodsSparse Evolutionary Training
