Skip to main content

LUP Student Papers

LUND UNIVERSITY LIBRARIES

M&As do not care about your feelings – or do they?

Holesinsky, Rene LU and Sirborn, Oskar LU (2022) NEKN02 20221
Department of Economics
Abstract
Countless studies within M&As have examined factors that can explain bidding firms' abnormal returns, although, behavioral factors have mostly been overlooked. The aim of this study is to investigate the effect of investor sentiment on value creation around M&A deal announcements in the Nordic markets. We examine two, in principle, homogeneous samples of 421 and 359 acquisitions between May 2006 and December 2021. We find that a negative and statistically significant relationship exists between bidder announcement returns and the pre-announcement investor sentiment. The results are robust to including a number of control variables, which have shown explanatory power in prior research. We also find that M&A announcements during this period... (More)
Countless studies within M&As have examined factors that can explain bidding firms' abnormal returns, although, behavioral factors have mostly been overlooked. The aim of this study is to investigate the effect of investor sentiment on value creation around M&A deal announcements in the Nordic markets. We examine two, in principle, homogeneous samples of 421 and 359 acquisitions between May 2006 and December 2021. We find that a negative and statistically significant relationship exists between bidder announcement returns and the pre-announcement investor sentiment. The results are robust to including a number of control variables, which have shown explanatory power in prior research. We also find that M&A announcements during this period yield a positive cumulative abnormal return of 3.42% and 3.31% for (-1, +1) and (-3, +3) event windows centered on the deal announcement day, respectively. Furthermore, our sentiment index EUROfeelings constructed using principal component analysis proves to be adequate for capturing investor sentiment in Europe. In accordance with the managerial hubris hypothesis, our results indicate that bidding firms' managers are influenced by sentiment and overpay for targets during times of optimism. (Less)
Please use this url to cite or link to this publication:
author
Holesinsky, Rene LU and Sirborn, Oskar LU
supervisor
organization
course
NEKN02 20221
year
type
H1 - Master's Degree (One Year)
subject
keywords
mergers and acquisitions, market sentiment, event study, principal component analysis
language
English
id
9087561
date added to LUP
2022-10-10 09:36:24
date last changed
2022-10-10 09:36:24
@misc{9087561,
  abstract     = {{Countless studies within M&As have examined factors that can explain bidding firms' abnormal returns, although, behavioral factors have mostly been overlooked. The aim of this study is to investigate the effect of investor sentiment on value creation around M&A deal announcements in the Nordic markets. We examine two, in principle, homogeneous samples of 421 and 359 acquisitions between May 2006 and December 2021. We find that a negative and statistically significant relationship exists between bidder announcement returns and the pre-announcement investor sentiment. The results are robust to including a number of control variables, which have shown explanatory power in prior research. We also find that M&A announcements during this period yield a positive cumulative abnormal return of 3.42% and 3.31% for (-1, +1) and (-3, +3) event windows centered on the deal announcement day, respectively. Furthermore, our sentiment index EUROfeelings constructed using principal component analysis proves to be adequate for capturing investor sentiment in Europe. In accordance with the managerial hubris hypothesis, our results indicate that bidding firms' managers are influenced by sentiment and overpay for targets during times of optimism.}},
  author       = {{Holesinsky, Rene and Sirborn, Oskar}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{M&As do not care about your feelings – or do they?}},
  year         = {{2022}},
}