The Best K-Exponential Moving Average with Missing Values: Gold Prices in Indonesia, Saudi Arabia, and Turkey during COVID-19

Fadhlul Mubarak, Atilla Aslanargun, I. Siklar
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Abstract

There have been missing values in the gold price data for Indonesia, Saudi Arabia, and Turkey at the weekend so that imputation techniques have been carried out to solve this problem. The imputation method of replacing NAs with the latest non-NA values also known as last observation carried forward (LOCF) made it a solution to overcome the missing values. This study selected the best -exponential moving average based on the smallest mean absolute percentage error (MAPE) from simulations. The 2-exponential moving average analysis was the best analysis for the price of gold which has missing values in Indonesia, Saudi Arabia, and Turkey during COVID-19, while the largest MAPE values are different for each country.
缺失值的最佳k指数移动平均线:印度尼西亚、沙特阿拉伯和土耳其在2019冠状病毒病期间的黄金价格
周末印尼、沙特阿拉伯和土耳其的黄金价格数据中存在缺失值,因此采用了归算技术来解决这一问题。用最新的非na值代替na值的代入方法,也称为最后一次观测结转(LOCF),是克服缺失值的一种解决方案。本研究选择了基于最小平均绝对百分比误差(MAPE)的最佳指数移动平均。在印度尼西亚、沙特阿拉伯和土耳其,2指数移动平均线分析是对COVID-19期间缺失价值的黄金价格的最佳分析,而最大MAPE值在每个国家都不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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