Research Article
Managerial Overconfidence, Industry Supporting Policy and Merger and Acquisition Performance: An Empirical Study Based on Stata Multiple Linear Regression Model
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334226, author={Qun Hong and Shuzhen Wang and Jing Peng and Yilin Hong}, title={Managerial Overconfidence, Industry Supporting Policy and Merger and Acquisition Performance: An Empirical Study Based on Stata Multiple Linear Regression Model}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={multiple linear regression model · stata software ·managerial overconfi-dence · m\&a performance · industry supporting policy}, doi={10.4108/eai.19-5-2023.2334226} }- Qun Hong
Shuzhen Wang
Jing Peng
Yilin Hong
Year: 2023
Managerial Overconfidence, Industry Supporting Policy and Merger and Acquisition Performance: An Empirical Study Based on Stata Multiple Linear Regression Model
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334226
Abstract
Considering the interaction between managers' irrational characteristics and the ex-ternal economic environment, this paper selects A-share listed companies with M&A performance from 2014 to 2020 as the research object, and establishes multivariate linear regression model to empirically study the impact of managerial overconfidence and industry supporting policy on M&A performance by using Stata software. The re-sults show that managerial overconfidence has a significant negative impact on M&A performance, and the industry supporting policy strengthens the negative influence of managerial overconfidence on M&A performance. The research results have implica-tions for enterprise to make objective investment decisions.
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