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Downside risk similarity and M&As

  • Lei Chen
  • , Allen H. Huang*
  • , Xinlu Wang
  • , Liang Xu
  • *Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

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Abstract

Downside risks are ubiquitous and can profoundly impact firm operations and valuation. Failure to adequately assess and manage target firms' downside risks hinders acquirers' ability to integrate and manage these businesses. This article introduces a novel measure of firms' downside risk similarity (DRS) based on risk factor descriptions and examines its implications for mergers and acquisitions (M&A) outcomes. We first validate that the measure is distinct from existing similarity measures and that it captures similarity in firms' potential significant downside. Using the new measure, we find that the market reacts more positively to deals in which acquirers and targets share more downside risks. Additional analyses show that this beneficial effect of DRS is driven primarily by risks that are idiosyncratic or firm-specific, consistent with these risks requiring acquirers' relevant expertise to manage. Last, we document that in deals with more similar downside risks, the acquirers experience fewer risk profile changes and are less likely to suffer from adverse outcomes, such as deal-specific goodwill impairment, divestitures, and significant profitability declines. Overall, we conclude that DRS plays a significant role in the M&A process.

Original languageEnglish
Pages (from-to)7-38
Number of pages32
JournalContemporary Accounting Research
Volume43
Issue number1
Early online date22 Sept 2025
DOIs
Publication statusPublished - 1 Mar 2026

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Contemporary Accounting Research published by Wiley Periodicals LLC on behalf of Canadian Academic Accounting Association.

Keywords

  • downside risks
  • M&A quality
  • risk factor descriptions
  • textual analysis
  • topic modeling
  • analyse textuelle
  • description des facteurs de risque
  • modélisation thématique
  • risques à la baisse
  • qualité des fusions et acquisitions

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