使用Arima方法的月度ICP预测模型

Rudi Handoko
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摘要

印尼原油价格假设,或通常简称为ICP,在国家财政管理中起着重要作用。本文旨在每月建立一个ICP预测模型。本文采用计量经济学方法对时间序列Box-Jenkin或ARIMA (Autoregressive Integrated Moving Average)进行分析。在采用Box-Jenkin方法后,估计结果表明,预测月度ICP的最佳模型是ARIMA(1,2,1)。结果用静态方法投影ARIMA(1,2,1)比用动态方法投影ARIMA(1,2,1)更准确,误差仅为0.8%。如果使用静态方法,2014年的ICP前景将在106美元/桶至108美元/桶之间。与石油价格相关的政策建议是确定使用ARIMA(1,2,1)建议的印度尼西亚原油价格假设(ICP)。石油价格模型对国家财政管理具有重要影响,即ARIMA模型可以帮助建立ICP假设,并有助于在石油价格波动的情况下作出反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monthly ICP Projection Model Using Arima Method
Indonesian crude oil price assumption, or commonly abbreviated as ICP plays an important role in the management of state finances. This paper aims to make an ICP projection model monthly. This paper uses econometric methods time series Box-Jenkin or ARIMA (Autoregressive Integrated Moving Average). After following the Box-Jenkin methodology, estimation results indicate that the best model to forecast the monthly ICP is ARIMA (1,2,1). Results projection ARIMA (1,2,1) with a static method is more accurate than the dynamic method with a deviation of only 0.8%. If using the static method outlook for ICP in 2014 will be in the range of US$106/bareI - US$108/barel. Policy recommendations related to the price of oil is to determine the Indonesian crude oil price assumption (ICP) suggested using ARIMA (1,2,1). The oil price models have important implications in the management of state finances, namely the ARIMA model can help establish the assumption of ICP and help respond in the event of oil price fluctuations.
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