DocumentCode :
3324782
Title :
The study on earnings quality evaluating and the industry characteristics of the listed companies
Author :
Jian-Hua Wang
Author_Institution :
Sch. of Econ. & Manage., Henan Polytech. Univ., Jiaozuo
fYear :
2008
fDate :
10-12 Sept. 2008
Firstpage :
773
Lastpage :
779
Abstract :
Earning was one of the most important accounting information disclosed by the enterprises, particularly in the capital market environment, as well as the medium-term annual earnings figures in the report are one of the most important information transferred by listed companies to investors. Now in financial theory, the assessment models often predict and analyze a companypsilas value based on accounting earning. Therefore, the accounting earning is one of the most intuitive targets to reflect on businesspsila operating results for a certain period, which has been widely considered as a high information content. However, in different years, in the different framework of time and space industries, the information content of the accounting earning is very different, namely, there are differences in quality. Therefore, this paper will study on relationship between the industry characteristics of the listed companies and earnings quality based on the experience data of the listed companies.
Keywords :
accounting; stock markets; accounting information; capital market; earnings quality; enterprises; Companies; Conference management; Economic forecasting; Engineering management; Environmental economics; Industrial economics; Industrial relations; Investments; Predictive models; Quality management; earnings quality; evaluating; industry characteristics; listed companies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2008. ICMSE 2008. 15th Annual Conference Proceedings., International Conference on
Conference_Location :
Long Beach, CA
Print_ISBN :
978-1-4244-2387-3
Electronic_ISBN :
978-1-4244-2388-0
Type :
conf
DOI :
10.1109/ICMSE.2008.4669000
Filename :
4669000
Link To Document :
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