Acquiring Innovation under Information Frictions*

A-Tier
Journal: The Review of Financial Studies
Year: 2022
Volume: 35
Issue: 10
Pages: 4474-4517

Authors (3)

Murat Alp Celik (University of Toronto) Xu Tian (not in RePEc) Wenyu Wang (not in RePEc)

Score contribution per author:

1.345 = (α=2.02 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Acquiring innovation through M&A is subject to information frictions, as assessing the value of innovative targets is a challenging task. We find an inverted U-shaped relation between firm innovation and takeover exposure; equity usage increases with target innovation; and the deal completion rate drops with innovation. We develop and estimate a model of acquiring innovation under information frictions, featuring endogenous merger, innovation, and offer composition decisions. Our estimates suggest that acquirers’ due diligence reveals only 30 of private information possessed by targets. Eliminating information frictions increases capitalized merger gains by 59, stimulates innovation, and boosts productivity, business dynamism, and social welfare.

Technical Details

RePEc Handle
repec:oup:rfinst:v:35:y:2022:i:10:p:4474-4517
Journal Field
Finance
Author Count
3
Added to Database
2026-01-25