Earnings seasonality, management earnings forecasts and stock returns

被引:2
|
作者
Jiang, Danling [1 ,2 ]
Song, Pan [2 ]
Zhu, Hongquan [2 ,3 ]
机构
[1] Suny Stony Brook, Coll Business, Stony Brook, NY 11794 USA
[2] Southwestern Jiaotong Univ, Sch Econ & Management, Chengdu, Peoples R China
[3] Serv Sci & Innovat Key Lab Sichuan Prov, Chengdu, Peoples R China
基金
中国国家自然科学基金;
关键词
Management earnings forecast; Earnings seasonality; Stock return seasonality; Representativeness heuristic; Extrapolation; INFORMATION;
D O I
10.1016/j.cjar.2023.100303
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
We examine whether management earnings forecasts (MEFs) help reduce the stock return seasonality associated with earnings seasonality around earnings announcements (EAs) in Chinese A-share markets. We find that firms in his-torically low earnings seasons outperform firms in high earnings seasons by 2.1% around MEFs. Firms in low earnings seasons also have higher trading volume and return volatility than their counterparts around EAs and MEFs. MEFs significantly reduce the ability of historical seasonal earnings rankings to negatively predict announcement returns, volume and volatility around EAs. The reduction effects are stronger when MEFs are voluntary or made clo-ser to EAs. The evidence suggests that MEFs facilitate the correction of inves-tors' tendency to extrapolate earnings seasonality and its resulted stock mispricing.(c) 2023 Sun Yat-sen University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecom-mons.org/licenses/by-nc-nd/4.0/).
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页数:18
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