楼主: skyishaw
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[作业] Eviews作业重金悬赏!!! [推广有奖]

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skyishaw 学生认证  发表于 2022-3-31 09:28:45 |AI写论文
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数据已经下载,2002年3月到2022年2月,棉花价格月度数据
求助大神!!可以详细解答或者步骤分析的可以加我,重金答谢!!必须是用eviews做

Download monthly prices for a commodity of your choice over the past 20 years (end of the data should be Feb 2022).

1- Partition your sample into estimation and ex-post periods, with ex-post being 4 years. Use the observations in the estimation period to estimate 3 different models, e.g. Econometric Model, ARMA, Exponential Smoothing, etc. Perform diagnostic tests, present the final estimation outcome and the diagnostics for each model, and discuss the results.

2- Use appropriate techniques to compute forecast values for 1 to 48 months ahead, over the ex-post period (last 4 years; i.e. March 2018 to February 2022) of the sample with the 3 models you have estimated in part 1.

3- Use appropriate statistics to evaluate the forecasting performance of each model and compare forecasting performance of models.

4- Choose the best model and prepare a short report including forecast values on how the price are going to behave over the next 12 months, March 2022 to February 2023 and present your forecast.


关键词:EVIEWS Views Eview view 重金悬赏 eviews 预测 作业 时间序列

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