2012•Economic Research GuideRequires access

Comparative analysis of the international oil price forecast based on the ARIMA and GARCH models

Shuping Wang

Open publisher page 2 citations

Abstract

Based on the analysis of impact factors on oil price fluctuations,from January 1986 to December 2010,WTI crude oil price of monthly data,creation of ARIMA and GARCH models for forecasting oil prices.And by extrapolation from January 2011 to April 2012 WTI crude oil price forecast,forecast effect of testing models.Comparative analysis found that in short-term prediction,ARIMA and GARCH model on oil price forecasts are more accurate,but when oil prices due to the major events and large fluctuations,model prediction accuracy of decline in long-term projections,forecasting of GARCH model better than ARIMA models;overall,GARCH models forecasting accuracy than the ARIMA model.Therefore,in the international oil price forecasting,GARCH models are appropriate.

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What this paper is about

Based on the analysis of impact factors on oil price fluctuations,from January 1986 to December 2010,WTI crude oil price of monthly data,creation of ARIMA and GARCH models for forecasting oil prices.And by extrapolation from January 2011 to April 2012 WTI crude oil price forecast,forecast effect of testing models.Comparative analysis found that in short-term prediction,ARIMA and GARCH model on oil price forecasts are more accurate,but when oil prices due to the major events and large fluctuations,model prediction accuracy of decline in long-term projections,forecasting of GARCH model better than ARIMA models;overall,GARCH models forecasting accuracy than the ARIMA model.Therefore,in the international oil price forecasting,GARCH models are appropriate.

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Available abstract

Based on the analysis of impact factors on oil price fluctuations,from January 1986 to December 2010,WTI crude oil price of monthly data,creation of ARIMA and GARCH models for forecasting oil prices.And by extrapolation from January 2011 to April 2012 WTI crude oil price forecast,forecast effect of testing models.Comparative analysis found that in short-term prediction,ARIMA and GARCH model on oil price forecasts are more accurate,but when oil prices due to the major events and large fluctuations,model prediction accuracy of decline in long-term projections,forecasting of GARCH model better than ARIMA models;overall,GARCH models forecasting accuracy than the ARIMA model.Therefore,in the international oil price forecasting,GARCH models are appropriate.

Key concepts: Autoregressive integrated moving average, Autoregressive conditional heteroskedasticity, Econometrics, West Texas Intermediate, Extrapolation, Oil price, Economics, Crude oil

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