The role of conditional conservatism on acquirers' stock prices around M&A announcement
Fiorenza Meucci et al.
What the paper says
Purpose: This study investigates the relationship between conditional conservatism and the market reaction of firms' stock prices in Mergers and Acquisitions (M&A) operations. Design/methodology/approach: Leveraging a sample of 224 U.S. listed companies and event study methodology, as well as regression models, this study analyses 735 M&A deals from 2010 to 2018. Findings: We find that conditional conservatism is positively associated with cumulative abnormal returns of acquiring firms post-M&A announcement; moreover, one of the drivers of this result is the information asymmetry channel. Additional analysis also shows that while acquirers with high conditional conservatism experience a positive reaction to M&A announcements, there is no significant reaction for acquirers with low conditional conservatism. Originality/value: Our main results provide evidence that a high conditional conservatism limits the reduction of acquiring firms' stock prices post-announcement of M&A. Our additional analyses show that low conditional conservatism does not exert a significant negative impact on acquiring firms' stock prices post-announcement of M&A, as would be expected. Practical implications: This paper may be useful for both investors and practitioners since it offers interesting insights on how to deal with accounting policies and benefit from M&A transactions. Indeed, if they are informed on how conditional conservatism exerts a role on stock prices, they are less likely to engage in value-destroying M&A transactions. In addition, our results may interest standard setters interested in the role of the conservatism principle under the Generally Accepted Accounting Principles.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.