DocumentCode :
127265
Title :
A research on the correlation between MD&A Disclosure and Financial Performance
Author :
Li Hui-yun ; Zhang Lin
Author_Institution :
Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing, China
fYear :
2014
fDate :
17-19 Aug. 2014
Firstpage :
1359
Lastpage :
1364
Abstract :
In early 2012, Shanghai Stock Exchange of China promulgated No. 5 Memorandum on Annual Reports of Listed Companies for 2011 - Requirements on Preparation of Management Discussion and Analysis (the “Requirements”), further specifying the way of disclosing some contents, and further stressing the importance of disclosure of management discussion and analysis (“MD&A”) in light of standards. This proves that MD&A is receiving the growing attention of the regulator. This paper created quality assessment indicators for MD&A disclosure according to the Requirements, selected 220 manufacturing companies listed on Shanghai Stock Exchange as the research sample and developed a regression model. Through collection, sorting and analysis of sample data of 2010 and 2011, it was found that the quality of MD&A disclosure is positively correlated with the financial performance of the current period, and can be used to forecast future financial performance.
Keywords :
data analysis; financial management; manufacturing industries; regression analysis; sorting; stock markets; China; MD and A disclosure; Shanghai Stock Exchange; financial performance forecasting; management discussion and analysis disclosure; manufacturing companies; quality assessment indicators; regression model; sample data analysis; sample data collection; sample data sorting; Analytical models; Companies; Correlation; Mathematical model; Predictive models; Quality assessment; Standards; correlation; financial performance; management discussion and analysis; quality assessment indicator system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science & Engineering (ICMSE), 2014 International Conference on
Conference_Location :
Helsinki
Print_ISBN :
978-1-4799-5375-2
Type :
conf
DOI :
10.1109/ICMSE.2014.6930389
Filename :
6930389
Link To Document :
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