Big data, accounting information, and valuation

被引:7
|
作者
Nissim, Doron [1 ]
机构
[1] Columbia Business Sch, New York, NY 10027 USA
来源
关键词
Big data; Machine learning; Valuation; Financial misstatements; Earnings forecasts; Stock return predictability; XBRL; Survey; EARNINGS; FRAUD; STATEMENTS; ANALYSTS; FIRMS; COST; TONE;
D O I
10.1016/j.jfds.2022.04.003
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper reviews research that uses big data and/or machine learning methods to provide insight relevant for equity valuation. Given the huge volume of research in this area, the review focuses on studies that either use or inform on accounting variables. The article concludes by providing recommendations for future research and practice. (c) 2022 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页码:69 / 85
页数:17
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