Abstract: World Journal of Applied Mathematics and Statistics

Abstract:
Based on the sales data of new energy vehicles in Hangzhou from January 2022 to December 2024, this paper uses the Vector Autoregression (VAR) model to model and forecast the sales volume of Tesla Model Y, and explores the impact of oil price data on its sales. Through unit root test, VAR model analysis and Impulse Response Function (IRF) analysis, it is found that the impact of gasoline price on Model Y sales is not statistically significant. The research results show that the sales of new energy vehicles are driven by multiple factors, and oil price is not the main determinant. The forecast indicates that the sales volume shows an overall upward trend. The conclusions of this study can provide reference for new energy vehicle enterprises to formulate production and sales strategies.