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Forecast on Price of Agricultural Futures in China Based on ARIMA Model 被引量:6

Forecast on Price of Agricultural Futures in China Based on ARIMA Model
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摘要 The forecast on price of agricultural futures is studied in this paper. We use the ARIMA model to estimate the price trends of agricultural futures,which can help the investors to optimize their investing plans. The soybean future contracts are taken as an example to simulate the forecast based on the auto-regression coefficient(p),differential times(d) and moving average coefficient(q). The results show that ARIMA model is better to simulate and forecast the trend of closing prices of soybean futures contract,and it is applicable to forecasting the price of agricultural futures. The forecast on price of agricultural futures is studied in this paper. We use the ARIMA model to estimate the price trends of agricultural futures,which can help the investors to optimize their investing plans. The soybean future contracts are taken as an example to simulate the forecast based on the auto-regression coefficient(p),differential times(d) and moving average coefficient(q). The results show that ARIMA model is better to simulate and forecast the trend of closing prices of soybean futures contract,and it is applicable to forecasting the price of agricultural futures.
作者 Chunyang WANG
机构地区 School of Business
出处 《Asian Agricultural Research》 2016年第11期9-12,16,共5页 亚洲农业研究(英文)
关键词 Price of agricultural futures ARIMA model Short-term forecast of price Price of agricultural futures ARIMA model Short-term forecast of price
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  • 1何一鸣,马丽娟.世界石油资源格局及中国的应对策略[J].国际经贸探索,2006,22(4):9-11. 被引量:7
  • 2Box G E P,Jenkins G M.时间序列分析预测与控制[M].顾岚,译.3版.北京:中国统计出版社,1997:51-148.
  • 3薛薇.SPSS统计分析方法及应用[M].北京:电子工业出版社,2004..
  • 4FAN Jing-qing,Yao Qi-wei.Nonlinear Time Series:Nonparametric and Parametric Methods[M].Beijing:Science Press,2006.
  • 5Box,G.& Jenkins,G.Time Series Analysis,Forecasting,and Control[M].San Francisco:Holden Day Press,1970.
  • 6Adak,S.Time-dependent special analysis of nonstationary time series[J].Journal of American Statistcal Association,1998,(93):1 488-1 501.
  • 7Box,G.,Jenkins,G.& MacGregor,J.Some recent advances in forecasting and control,part two[J].Statist,1974,(4):158- 179.
  • 8Akaike,H.Cononicial Correlation Analysis of Time Series and the Use of an Information Criterion,in Systems Identification:Advances and Case Studies[M].New York:Academic Press,1976.
  • 9Dickey,D.& Fuller,W.Distribution of the estimators for autoregressive time series with a unit root[J].Journal of the American Statistical Association,1979,(74):427 - 431.
  • 10孙奕,贾翠平,覃世龙.儿童伤害住院费用ARIMA预测模型研究[J].数理统计与管理,2007,26(6):1124-1128. 被引量:8

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