Forecasting the automotive market using autoregressive integrated moving average with python

Bianchi, Alberto

http://hdl.handle.net/10362/105993

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Autores

Bianchi, Alberto

Orientador(es)

Santos, Carlos Daniel

Resumo(s)

The present document is based on an internship at TIPS 4Yand aims to forecast the growth of the automotive market for the next 5 years in Portugal through the Autoregressive Integrated Moving Average model. This report starts with a literature background focused on market development paying particular attention to the electric car market. Hereafter the used methodology is described, from which a detailed explication of the process used for gathering data is defined. Subsequently to this section, a presentation of the results of the tasks is done, followed by a critical opinion about them.

Palavras-chave

Forecasting TIPS 4Y ARIMA Data

URI

http://hdl.handle.net/10362/105993

Coleções

NSBE - MA Dissertations

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