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A Theory of Merger-Driven IPOs

64 Pages Posted: 6 Feb 2008 Last revised: 14 Mar 2013

Evgeny Lyandres

Boston University

Alexei Zhdanov

Pennsylvania State University

Jim Hsieh

George Mason University

Multiple version iconThere are 2 versions of this paper

Date Written: 2011

Abstract

We propose a model that links a firm’s decision to go public with its subsequent takeover strategy. A private bidder does not know its true valuation, which affects its gain from a potential takeover. Consequently, a private bidder pursues suboptimal restructuring policy. An alternative route is to complete an initial public offering first. An IPO reduces valuation uncertainty, leading to more efficient acquisition strategy, therefore enhancing firm value. We calibrate the model using data on IPOs and M&As. The resulting comparative statics generate several novel qualitative and quantitative predictions, which complement the predictions of other theories linking IPOs and M&As. For example, the time it takes a newly public firm to attempt an acquisition of another firm is expected to increase in the degree of valuation uncertainty prior to the firm’s IPO and it is expected to decrease in the valuation surprise realized at the time of the IPO. We test these and other empirical predictions of the model and find strong support for them.

Keywords: Takeovers, IPOs, Valuation Uncertainty, Real Options

JEL Classification: G13, G34

Suggested Citation

Lyandres, Evgeny and Zhdanov, Alexei and Hsieh, Jim, A Theory of Merger-Driven IPOs (2011). Journal of Financial and Quantitative Analysis (JFQA), Vol. 46, pp. 1367-1405, 2011. Available at SSRN: https://ssrn.com/abstract=932117 or http://dx.doi.org/10.2139/ssrn.932117

Evgeny Lyandres

Boston University ( email )

595 Commonwealth Avenue
Boston, MA 02215
United States
617-3582279 (Phone)

Alexei Zhdanov (Contact Author)

Pennsylvania State University ( email )

University Park
State College, PA 16802
United States

HOME PAGE: http://www.alexeizhdanov.com

Jim Hsieh

George Mason University ( email )

4400 University Dr, MSN 5F5
George Mason University
Fairfax, VA 22030
United States

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