Strata Regression Analysis-Based Research on the Impact of High-Premium M&A Goodwill on Profitability and Enterprise Value
- DOI
- 10.2991/978-94-6463-030-5_146How to use a DOI?
- Keywords
- High-Premium M&A Goodwill; Stata; Multiple Linear Regression Model; Profitability; Enterprise Value
- Abstract
This paper researches GEM-listed companies with performance commitments from 2013 to 2015, and establishes a multiple linear regression model, with Stata as the regression analysis tool, to study the impact of high-premium M&A goodwill on profitability and enterprise value. According to the results, with performance commitment as the guarantee, high-premium M&A goodwill has a negative impact on the company’s profitability in the years after M&A and has a positive impact on its enterprise value right after M&A, while it presents a negative impact on it in the next two to four years. The author introduces the concept of performance commitment into the relationship between goodwill, profitability, and enterprise value in times of high-premium M&A, hence filling up some limitations and providing references for improving performance commitment systems and internal governance mechanisms.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Kaili Gao AU - Xiaoyan Qi AU - Jingxian Di PY - 2022 DA - 2022/12/20 TI - Strata Regression Analysis-Based Research on the Impact of High-Premium M&A Goodwill on Profitability and Enterprise Value BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 1465 EP - 1476 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_146 DO - 10.2991/978-94-6463-030-5_146 ID - Gao2022 ER -