Financial Statement Analysis: Evidence from Chinese Firms
Abstract
This paper conducts a fundamental analysis of Chinese firms based on accounting numbers in their financial statements. The sample consists of 2,164 Chinese firms listed on Shanghai and Shenzhen Stock Exchanges during the period 2001 to 2013. We use nine fundamental signals and specify a benchmark model and an augmented model. We regress future excess returns on the signals and find that they are associated with excess returns; five of the signals are negatively associated with excess returns, while the other four are positively associated with excess returns. Further analysis suggests that our finding is mainly driven by state-owned firms.
Recommended Citation
Eng, L., Tian, X., & Yu, T. R. (2018). Financial Statement Analysis: Evidence from Chinese Firms. Review of Pacific Basin Financial Markets and Policies, 21(4) World Scientific Publishing.
The definitive version is available at https://doi.org/10.1142/S0219091518500273
Department(s)
Business and Information Technology
Keywords and Phrases
Finance; Income; State owned enterprise; Stock market; China; Guangdong; Shanghai; Shenzhen; Balance sheet; China; Financial statement analysis; Future returns; Income statement; State-owned enterprise
International Standard Serial Number (ISSN)
0219-0915
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 World Scientific Publishing, All rights reserved.
Publication Date
01 Dec 2018
Comments
The authors thank Cheng-few Lee (editor-in-chief) and anonymous reviewers for their constructive comments and suggestions. They also thank Wei-Guo Zhang at the International Accounting Standards Board and workshop participants at the 28th Asian-Pacific Conference on International Accounting Issues for their helpful comments. Professor Tian acknowledges financial support by the National Natural Science Foundation of China [Grant No. 71403126]; Fundamental Research Funds for the Central Universities of Nanjing Agricultural University [Grant No. SKCX2016001]; Project of Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), and China Center for Food Security Studies, Nanjing Agricultural University in China.