Pre-Announced Revenue Targets in Uniform-Price Auctions: Evidence from Seasoned Equity Offerings

This paper examines the implications of pre-announced revenue targets in uniform-price auctions used for seasoned equity offerings (SEOs). In this setting, issuers commit ex ante to a target revenue, a reserve price, and a maximum share quantity. Using a common-value framework, we show that under truthful bidding, the optimal issuer strategy is to set the share quantity such that the product of the reserve price and the share quantity equals the revenue target. This design induces more truthful bidding relative to standard uniform-price auctions without revenue commitments. We test these predictions using comprehensive data from China’s SEO market. First, we analyze how variations in issuer strategies affect SEO discounts and find that outcomes are most favorable when issuers follow the identified optimal strategy. Second, we evaluate auction performance by constructing a benchmark based on truthful bidding. The results indicate that this modified auction mechanism achieves prices only 0.028 below the truthful benchmark, with revenue less than 3% lower than the case with truthful bids. These findings highlight the potential effectiveness of uniform-price auctions with revenue targets in financial markets. • Develops a theoretical model showing that pre-announced revenue targets induce more truthful bidding in uniform-price SEO auctions. • Provides novel empirical evidence from China’s SEO market, using detailed auction data from 1154 offerings. • Demonstrates that aligning reserve price and share quantity with the revenue target improves auction outcomes. • Shows that actual issue prices deviate by only 0.029 from the truthful bidding benchmark, with less than 3% revenue loss.

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Publication Details

Journal
International Review of Economics & Finance
Published
2026-01-20
DOI
https://doi.org/10.1016/j.iref.2026.104919
Primary Topic
Auction Theory and Applications
Type
article
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article

Pre-Announced Revenue Targets in Uniform-Price Auctions: Evidence from Seasoned Equity Offerings

Peyman Khezr, Armin Pourkhanali, Shenghao Gao
International Review of Economics & Finance
Auction Theory and Applications
article

Pre-Announced Revenue Targets in Uniform-Price Auctions: Evidence from Seasoned Equity Offerings

Peyman Khezr, Armin Pourkhanali, Shenghao Gao
article en

Abstract

This paper examines the implications of pre-announced revenue targets in uniform-price auctions used for seasoned equity offerings (SEOs). In this setting, issuers commit ex ante to a target revenue, a reserve price, and a maximum share quantity. Using a common-value framework, we show that under truthful bidding, the optimal issuer strategy is to set the share quantity such that the product of the reserve price and the share quantity equals the revenue target. This design induces more truthful bidding relative to standard uniform-price auctions without revenue commitments. We test these predictions using comprehensive data from China’s SEO market. First, we analyze how variations in issuer strategies affect SEO discounts and find that outcomes are most favorable when issuers follow the identified optimal strategy. Second, we evaluate auction performance by constructing a benchmark based on truthful bidding. The results indicate that this modified auction mechanism achieves prices only 0.028 below the truthful benchmark, with revenue less than 3% lower than the case with truthful bids. These findings highlight the potential effectiveness of uniform-price auctions with revenue targets in financial markets. • Develops a theoretical model showing that pre-announced revenue targets induce more truthful bidding in uniform-price SEO auctions. • Provides novel empirical evidence from China’s SEO market, using detailed auction data from 1154 offerings. • Demonstrates that aligning reserve price and share quantity with the revenue target improves auction outcomes. • Shows that actual issue prices deviate by only 0.029 from the truthful bidding benchmark, with less than 3% revenue loss.

International Review of Economics & FinanceVol. 106
Southwestern University of Finance and Economics (CN), Department of Finance (AU)
Partnerships for the goals
Openalex Percentile: Top 85%
Auction Theory and Applications
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Pre-Announced Revenue Targets in Uniform-Price Auctions: Evidence from Seasoned Equity Offerings — Peyman Khezr, Armin Pourkhanali, et al. · International Review of Economics & Finance (2026) | TGRS Research Map | TGRS