SARIMA Model for Sales Forecast: Evidence from New Energy Vehicles

With the development of environmental protection concepts, the new energy vehicle market has become one of the hot topics of academic attention, and predicting the sales volume of new energy vehicles has become a necessary content. In this context, this article analyzes the current development status of the new energy vehicle market and considers the cyclical development of the industry. Based on sales volume statistics from 2015 to 2025, the seasonal Autoregressive Integrated Moving Average Model (SARIMA) model is selected to predict future market sales volume. The research results show that the prediction effect of the SARIMA (0,1,1) (0,1,1)[12]model has certain reference value. At the same time, this article also provides the predicted values from May to December 2025. This study not only tested the application effect of SARIMA model in the field of new energy vehicles, but also provided empirical evidence for the future development of the automotive industry.

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Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2025-07-20
DOI
https://doi.org/10.54254/2754-1169/2025.lh25225
Primary Topic
Forecasting Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

SARIMA Model for Sales Forecast: Evidence from New Energy Vehicles

Ziqi Liang
Advances in Economics Management and Political Sciences
Forecasting Techniques and Applications
article

SARIMA Model for Sales Forecast: Evidence from New Energy Vehicles

Ziqi Liang
article en

Abstract

With the development of environmental protection concepts, the new energy vehicle market has become one of the hot topics of academic attention, and predicting the sales volume of new energy vehicles has become a necessary content. In this context, this article analyzes the current development status of the new energy vehicle market and considers the cyclical development of the industry. Based on sales volume statistics from 2015 to 2025, the seasonal Autoregressive Integrated Moving Average Model (SARIMA) model is selected to predict future market sales volume. The research results show that the prediction effect of the SARIMA (0,1,1) (0,1,1)[12]model has certain reference value. At the same time, this article also provides the predicted values from May to December 2025. This study not only tested the application effect of SARIMA model in the field of new energy vehicles, but also provided empirical evidence for the future development of the automotive industry.

Advances in Economics Management and Political SciencesVol. 200(1)
Openalex Percentile: Top 79%
Forecasting Techniques and Applications
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