Mergers and acquisitions comment letters and analysts' ' earnings forecasts: Evidence from China

被引:0
|
作者
Wan, Liangyong [1 ]
Li, Chen [2 ]
Xu, Rui [3 ,4 ]
Zhang, Hao [5 ,6 ,7 ]
机构
[1] South China Univ Technol, Sch Business Adm, Guangzhou 510641, Guangdong, Peoples R China
[2] Ernst & Young China Advisory Ltd, Guangzhou 100010, Peoples R China
[3] Guangdong Univ Foreign Studies, Sch Accounting, 178 Waihuan Rd, Guangzhou 510006, Guangdong, Peoples R China
[4] Guangdong Univ Foreign Studies, Res Ctr Accounting & Econ Dev Guangdong Hong Kong, Guangzhou 510006, Guangdong, Peoples R China
[5] Guangdong Univ Foreign Studies, Sch Finance, 178 Waihuan Rd, Guangzhou 510006, Guangdong, Peoples R China
[6] Guangdong Univ Foreign Studies, Inst Financial Opennes & Asset Management, Guangzhou, Peoples R China
[7] Inst Fortune Management Res, Guangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
M&a comment letters; Analysts' earnings forecasts; Optimism bias; RESTRUCTURING CHARGES; DISCLOSURE; REVISIONS; RISK;
D O I
10.1016/j.pacfin.2024.102470
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In this study we examine the effect of the mergers and acquisitions (M&A) comment letters on the analysts' earnings forecasts in China. Using the M&A data of listed companies between 2014 and 2018 as the main sample, we show that the M&A comment letters can reduce analysts' earnings forecast optimism. Additionally, the impact of the M&A comment letters on analysts' earnings forecast optimism is more pronounced in firms with higher market sentiment and higher conflicts of interest. Finally, the textual characteristics of the M&A comment letters and the classification of questions in the M&A comment letters also influence analysts' earnings forecast optimism. Our research broadens the economic consequences of the M&A comment letters and provides a richer theoretical perspective and empirical evidence to understand the effectiveness of non-penalty regulation.
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页数:19
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