Research On Compilation And Application Of Industry Accounting Index

The focus of the academic research on the accounting index is how to use the mathematical statistics model to examine the value relevance of accounting information and improve the decision-making usefulness of accounting information at the macro,meso,and micro levels.From the perspective of macro policy makers,it can be used as a thermometer,for the industry's boom situation,which is the basic purpose of the industry's value creation accounting index.Secondly,from the perspective of the external parties of micro-decision making,the industry value creation index,as an important analysis tool for investors,creditors,and auditors,can play a "indicator" role for their decision-making.Based on the accounting information of each listed company in the industry of the China Securities Regulatory Commission from 2006 to 2017,this paper has compiled the industry accounting indexes for 15 industries,including industry value creation index,industry cost index,industry leverage index and industry inventory index.The use of linear and nonlinear time series models-support vector machines(SVM)and autoregressive(AR)models to predict industry value creation accounting index,industry cost index,industry leverage index,and industry inventory index compiled in this thesis Observe the past and present development of the industry and predict the future development trend of the industry.Using the previous industry accounting index as an input variable,SVM and AR models are used to output industry accounting index forecasts.Taking into account the article space limitations,this article reports on the industry value creation index for the ferrous metal mining industry representing heavy industry and the chemical manufacturing industry representing light industry.The experimental results show that the prediction accuracy of the ferrous metal mining SVM model is 92.56%,the accuracy of the AR model is 82.87%,and the industry value creation index shows that the ferrous metal mining industry shows a downward trend after a long-term sideways;chemical manufacturing industry The prediction accuracy of the SVM model is 82.87%,that of the AR model is 81.68%,and the industry value creation index shows that the chemical manufacturing industry presents a fluctuating upward trend.The accuracy of the statistical model for forecasting the index is high,indicating that the industry accounting index can be applied in practice to judge the future development trend of the industry and predict the turning point.Take ferrous metal mining and chemical manufacturing as an example.National macroeconomic policies should take into consideration the development trends of these two industries and accelerate industrial upgrading.Investors,creditors and auditors should pay special attention to enterprises in the ferrous metal mining industry,for the risk,and especially make decisions carefully.