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The Mobile Holiday Seasonal Adjustment Model Research Based On the Stock Data

机译:基于股票数据的移动假日季节调整模型研究

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Based on the shortcomings of seasonal adjustment methods of stock data, the paper takes stock data-money supply (M0) as the main research object, and designs the operation and programmed process that the explanatory variables of stock data are generated, and set up money supply (M0) model of the registration day being in at the end of the month and three zones. the money supply (M0) seasonal adjustment result shows the Q statistics of the seasonal adjustment quality is 0.19, the outliers ratio is 2.9%, all the outliers appear in January and February, which shows the money supply (M0) mainly was affected by the mobile holiday - the Spring Festival in the middle of season factors, and is very small impacted by the holiday such as the Dragon Boat Festival, May Day, emergency and the financial policy, the growth trends of month and month and year and year are almost synchronization. The paper forecasts the money supply (M0) in 2012 using the model, the average relative error of the forecast values is 2.87%, which belongs to the secondary level accuracy, and is suitable for forecast of medium and long-term.
机译:基于季节性调整方法的股票数据的缺点,该文件将库存数据货币供应(M0)作为主要研究对象,并设计了生成股票数据的解释性变量的操作和编程过程,并建立了资金供应(M0)登记日的模型在月底和三个区域。货币供应(M0)季节调整结果表明季节调整质量的Q统计数据为0.19,异常值比率为2.9%,所有异常值都出现在1月和2月,这表明货币供应(M0)主要受到影响移动假期 - 春节在季节因素中间,并受到船龙节日,五月,紧急情况和财务政策的假期影响非常小,但月份和年份和年份的增长趋势几乎是同步。本文使用该模型预测2012年的货币供应(M0),预测值的平均相对误差为2.87%,属于二级级别精度,适用于中长期和长期预测。

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