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Research on Expected Return Based on Time Series Model: Taking Kweichow Moutai Co., Ltd. as an Example

Wennuan Fang

Abstract


With the stable development of China's economy, the economic activities among enterprises are more diversified, and the enterprise value evaluation index system is more perfect. As an important parameter in the enterprise value evaluation index, the expected income can be used to measure the profit quality of the enterprise. In order to explore the expected return of enterprises, this paper selects free cash flow as the specific index, and takes Kweichow moutai Co., Ltd. as an example, analyzes the earnings trend of enterprises through the method of time series. Time series prediction models are constructed to provide the basis for enterprise value evaluation. At the same time, by fitting single linear regression model and Autoregressive Integrated Moving Average model, the free cash flow is predicted, and finally the ARIMA (1,2,2) model is obtained. The results show that the single linear regression model has a higher error rate, while ARIMA (1,2,2) has a better fitting degree and a lower error rate. It can be used for the results of expected earnings of enterprises and provides a reference for enterprise value evaluation.


Keywords


Time Series Model; Expected Return; Free Cash Flow

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References


Ma X, Cai R, Ning Q, et al. State estimation of time series NAR model based on auxiliary particle filter and grey prediction (in Chinese). Statistics & Decision 2019; 35(4): 27-31. doi: 10.13546/j.cnki.tjyjc.2019.04.005.

Yang H, Pan Z, Bai W. A review of time series prediction methods (in Chinese). Computer Science 2019; 46(1): 21-28.

Pan H, Zhang C. FEPA-financial time series adaptive combinatorial prediction model (in Chinese). Chinese Journal of Management Science 2018; (6). doi: 10.16381/j.cnki.issn1003-207x.2018.06.004.

Ma S, Fan Y. Policy evaluation of China's new energy vehicles based on time series co-integration (in Chinese). China Population, Resources and Environment 2018; 28(4): 117-124.

Yan Y. GDP analysis and forecast of Shandong Province based on ARIMA model (in Chinese). Mathematics in Practice and Theory 2018; (4).

Jiang X. An empirical analysis of the reasons for the deviation of RMB internal and external value based on VAR model (in Chinese). Statistics & Decision 2018; 34(4): 157-160. doi: 10.13546/j.cnki.tjyjc.2018.04.035.

Wang Z, Xu G. Research on enterprise value evaluation model embedded in CSR behavior (in Chinese). East China Economic Management 2017; 31(11): 137-142. doi: 10.3969/j.issn.1007-5097.2017.11.018.

Chen Z, Tan Y, Lu H. Firms' patent signals and value assessment: Based on venture capital's view. Shanghai Economic Review 2017; (10): 105-114.

Hu Z. The time gap between fiscal investment and regional innovation output: The analysis of VAR model based on time series data. Economic Survey 2017; 34(3): 141-146.

Ma Z, Han Z. Study on complex seasonal time series model. Statistics & Decision 2017; (6): 29-32. doi: 10.13546/j.cnki.tjyjc.2017.06.006.




DOI: http://dx.doi.org/10.18282/ff.v9i2.858

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