2010Unpublished venueRequires access

Application of ARIMA Model in Total Fixed Asset Investments Forecasting of Guizhou Province

Qiliang Chen

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Abstract

Based on the investment in fixed assets data of Guizhou Province from 1978 to 2008,the autoregressive moving average (ARIMA) model was introduced to forecast the increasing of the fixed investments of Guizhou Province.The result showed the forecast of ARIAM(4,1,3)model was exact,and it can be used to forecast and provide the reliable basis for investing in fixed assets of Guizhou Province.

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What this paper is about

Based on the investment in fixed assets data of Guizhou Province from 1978 to 2008,the autoregressive moving average (ARIMA) model was introduced to forecast the increasing of the fixed investments of Guizhou Province.The result showed the forecast of ARIAM(4,1,3)model was exact,and it can be used to forecast and provide the reliable basis for investing in fixed assets of Guizhou Province.

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Available abstract

Based on the investment in fixed assets data of Guizhou Province from 1978 to 2008,the autoregressive moving average (ARIMA) model was introduced to forecast the increasing of the fixed investments of Guizhou Province.The result showed the forecast of ARIAM(4,1,3)model was exact,and it can be used to forecast and provide the reliable basis for investing in fixed assets of Guizhou Province.

Key concepts: Autoregressive integrated moving average, Fixed asset, Investment (military), Econometrics, Fixed investment, Fixed effects model, Autoregressive model, Asset (computer security)

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