Total Vehicle Sales Forecast

Project Report from the year 2013 in the subject Economics - Statistics and Methods, grade: 1,0, , course: ECO 309, language: English, abstract: For this project I created a twelve month forecast for Total Vehicle Sales in the United States using four different methods. These four techniques are called exponential smoothing, decomposition, ARIMA, and multiple regression. To do so I picked one dependent (Y) variable along with two independent (X) variables and collected 80 monthly observations for each variable. This historical data allowed me to create four different forecasting models which predict future Vehicle Sales with low risk of error. The best model according to the lowest error measures was winter’s exponential smoothing method because it had the lowest MAPE along with the lowest RMSE for the fit period as well as the forecast period.

This book provides extensive insight into the impact of electro-mobility (e-Mobility) on traditional automobile manufacturers. The authors analyse the drivers of e-Mobility and develop a forecast model with the help of exclusive industry reports from leading investment banks and reveal the impact on the automotive value chain. Apart from empirical analysis of the reports, the book also presents insights based on expert interviews with the leading automobile supplier Continental, the consultancy firm KPMG, the market-leading leasing company Deutsche Leasing, and a VW-Audi car dealer.