Author(s)

Tianning Wang

Corresponding Author

Tianning Wang

ABSTRACT

This paper first uses the methods commonly used in traditional financial statement analysis such as comparative analysis and trend analysis to analyze Midea, Gree Haier processes, analyzes and compares various data in its financial statements, calculates various financial indicators of the enterprise, roughly analyzes the profitability and development ability of the enterprise, and judges the current development of each enterprise. Taking Gree enterprise as an example, the time series method is used to analyze the past sales data and predict the sales volume of Gree air conditioner in 2021.Firstly, the seasonal components were determined and separated; Then, we select the cubic curve regression prediction model for the series without seasonal components, and use the model to predict the sales volume; Finally, the final prediction value including seasonal factors is obtained by multiplying the obtained prediction value by the corresponding seasonal index. On this basis, the sales volume of air conditioners in each quarter of 2021 is predicted.

KEYWORDS

Comparative analysis, time series decomposition, sales amount of air conditioner, prediction