The Construction and Application of Listed Companies' Profit Quality Models Based on the BP Neural Network

Abstract:

During to the asymmetric information on the stock market, and financial fraud incident with increasing, earnings quality becomes the focus of people from all walks of life. Both on all investors, or other stakeholders, how to reasonable evaluate listed companies’ earnings quality appears very important. This article through the BP neural network model to analysis the enterprise's profit quality, the model simulation results are accurate, thus can predict enterprise's profit quality, meeting the demand of information of enterprise stakeholder.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 2617-2620
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.2617
• Online since: November 2011
• Authors: Zhi Hong Lin, Shuo Yang
• Keywords: BP Neural Network (BPNN), Earnings Quality, Listed Company

References

[1] Zhimin Qin. Listed company earnings quality [J]. Pivot strategy of accounting research, 2003 (9).

[2] Meng Yan, Yuan Chun. Losses the public company accounting surplus value relevance empirical research [J]. Accounting research, 2005 (5).

[3] Qingliang Meng, Wentao Gu. Based on the ability to implement enterprise ego algorithm [J]. Journal of comprehensive evaluation strategy and management, 2005, (14).

[4] Wenqing Wu. Based on BP neural network of enterprise financial risk assessment model [J]. Computer and telecommunication, 2006 (8): 12 -17.

[5] Jiang qiquan Mathematical model [M]. Beijing: higher education press, 1993: 305.