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Does the interplay between the personality traits of CEOs and CFOs influence corporate mergers and acquisitions intensity? An econometric analysis with machine learning-based constructs
被引:0
|作者:
Wang Q.
[1
]
Lau R.Y.K.
[1
]
Yang K.
[1
]
机构:
[1] Department of Information Systems, College of Business, City University of Hong Kong
基金:
中国国家自然科学基金;
关键词:
Corporate finance;
Econometric analysis;
Machine learning;
Mergers and acquisitions;
Personality mining;
D O I:
10.1016/j.dss.2020.113424
中图分类号:
学科分类号:
摘要:
Although the upper echelons theory posits that senior executives' personal characteristics influence firm performance, very few studies have examined the impact of the interplay between CEO and CFO characteristics on corporate activities. To fill this research gap, we propose an econometric analysis model to examine the interplay between the personality traits of CEOs and CFOs and corporate mergers and acquisitions (M&A) intensity. In particular, our econometric analysis model is empowered by novel personality constructs extracted using a state-of-the-art machine learning-based personality detector that automatically mines CEO/CFO personality traits from firms' earnings call transcripts. Based on historical M&A data of S&P 1500 firms, our econometric analysis reveals that the “openness” personality trait of CEOs is positively associated with corporate M&A intensity, while CEOs' “consciousness” and “neuroticism” personality traits are negatively associated with corporate M&A intensity. Moreover, the impacts of CEOs' “openness” and “consciousness” personality traits on corporate M&A intensity are more pronounced when CFOs have similar personality traits to those of CEOs. © 2020
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