Petroleum price forecast using an ARIMA model

Petroleum price forecast using an ARIMA model

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Today he prices of the petroleum exhibit a tendency to drop with negative effects for the economy of the countries exporters of raw.Anticipating the Ski de fond - Accessoires - Batons economic variables behavior improve the taking of decisions since it mitigate the uncertainty.The model Autorregresive Integrated and Moving Average (ARIMA) describes the behavior of a series of time like a function of the precedent observations and the stochastic interferences.The present article has as objective to carry out a forecast of the behavior of the prices Greeting Card of the petroleum for the year 2017, using an ARIMA model.

The work use a daily prices time series of the Brent petroleum (to the closing of the market) that concerns to the period between 29/3/2016 up to 6/4/2017.