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Influences of external factors in automotive sales forecasting : a portuguese case study
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 11.94 MB | Adobe PDF |
Orientador(es)
Resumo(s)
This study aims to contribute to a better understanding of the Portuguese automotive market, its
behaviour and, additionally, attempt to create better sales prediction models, using linear regression
models with ARIMA errors.
Through time series analysis, it will be studied how external factors such as socio-economic variables,
consumer behaviour as well as market specific factors (e.g. gas prices, car rental services) affects the
development of the automotive market. Furthermore, it will be tested if methodologies such as
hierarchical forecasting on a bottom-up approach will bring better results compared to forecasting
the market as a whole.
This understanding and forecasting techniques, if proven successful, can bring higher competitive
advantage to companies in this sector, through more accurate planning and strategic management.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Car Sales ARIMA Hierarchical Forecasting Regression with ARIMA Errors