Forecasting Of Malaysia Gold Price with Exponential Smoothing

Heidi Airisha Abdul Rahman, Muhammad Firdaus Ros Azizi, Muhammad Fahmi Saruand, Nur Amalina binti Shafie
{"title":"Forecasting Of Malaysia Gold Price with Exponential Smoothing","authors":"Heidi Airisha Abdul Rahman, Muhammad Firdaus Ros Azizi, Muhammad Fahmi Saruand, Nur Amalina binti Shafie","doi":"10.30880/jst.2022.14.01.005","DOIUrl":null,"url":null,"abstract":"Gold is a precious asset has attract the investors to invest. Investors has interest to know the basic knowledge about gold price and the prediction price. Prediction price will help the investors to determine the benchmark of the gold price. However, various method can be predict the price. Therefore, the objective of this study to determine the best model to forecast the Malaysia gold price. This study focus used Exponential Smoothing (ETS) forecasting models which are Single Exponential Smoothing (SES), Double Exponential Smoothing (DES), and Holt-Winters Exponential Smoothing. The best model is used to forecast the gold price in Malaysia for the next 12 months by using data from March 2016 until February 2021.The best model is determined by choosing the lowest Root Mean Squared Error (RMSE) value. The outcome for the lowest RMSE shows that DES is the best model for forecasting the gold price in Malaysia for the next 12 months. The result of the forecasting shows that the gold price will decrease from March 2021 until February 2022, and this could be due to the COVID-19 pandemic in Malaysia. Therefore, it will be a good opportunity for investors to buy gold in this period since the price is decreased and investors can sell it at the highest price in the future.","PeriodicalId":21913,"journal":{"name":"Songklanakarin Journal of Science and Technology","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Songklanakarin Journal of Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30880/jst.2022.14.01.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Multidisciplinary","Score":null,"Total":0}
引用次数: 0

Abstract

Gold is a precious asset has attract the investors to invest. Investors has interest to know the basic knowledge about gold price and the prediction price. Prediction price will help the investors to determine the benchmark of the gold price. However, various method can be predict the price. Therefore, the objective of this study to determine the best model to forecast the Malaysia gold price. This study focus used Exponential Smoothing (ETS) forecasting models which are Single Exponential Smoothing (SES), Double Exponential Smoothing (DES), and Holt-Winters Exponential Smoothing. The best model is used to forecast the gold price in Malaysia for the next 12 months by using data from March 2016 until February 2021.The best model is determined by choosing the lowest Root Mean Squared Error (RMSE) value. The outcome for the lowest RMSE shows that DES is the best model for forecasting the gold price in Malaysia for the next 12 months. The result of the forecasting shows that the gold price will decrease from March 2021 until February 2022, and this could be due to the COVID-19 pandemic in Malaysia. Therefore, it will be a good opportunity for investors to buy gold in this period since the price is decreased and investors can sell it at the highest price in the future.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
指数平滑法预测马来西亚黄金价格
黄金是一种珍贵的资产,一直吸引着投资者进行投资。投资者有兴趣了解黄金价格的基本知识和预测价格。预测价格将帮助投资者确定黄金价格的基准。然而,各种方法可以预测价格。因此,本研究的目的是确定预测马来西亚黄金价格的最佳模型。本研究主要使用指数平滑(ETS)预测模型,即单指数平滑(SES)、双指数平滑(DES)和Holt-Winters指数平滑。最好的模型是使用2016年3月至2021年2月的数据来预测马来西亚未来12个月的黄金价格。通过选择最小的均方根误差(RMSE)值来确定最佳模型。RMSE最低的结果表明,DES是预测未来12个月马来西亚黄金价格的最佳模型。预测结果显示,从2021年3月到2022年2月,黄金价格将下跌,这可能是受马来西亚新冠肺炎疫情的影响。因此,这段时间是投资者购买黄金的好机会,因为价格下降,投资者可以在未来以最高价格出售黄金。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Songklanakarin Journal of Science and Technology
Songklanakarin Journal of Science and Technology Multidisciplinary-Multidisciplinary
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
25 weeks
期刊介绍: Songklanakarin Journal of Science and Technology (SJST) aims to provide an interdisciplinary platform for the dissemination of current knowledge and advances in science and technology. Areas covered include Agricultural and Biological Sciences, Biotechnology and Agro-Industry, Chemistry and Pharmaceutical Sciences, Engineering and Industrial Research, Environmental and Natural Resources, and Physical Sciences and Mathematics. Songklanakarin Journal of Science and Technology publishes original research work, either as full length articles or as short communications, technical articles, and review articles.
期刊最新文献
The Photocatalytic Activity of Green Zinc Oxide Nanoparticles in The Treatment of Aerobically Palm Oil Mill Effluent The Usage of Banana Peels and Soybean Hull for the Treatment of Lake Water: Turbidity and Total Suspended Solids Application of Exponentially Fitted Collocation Algorithm for Solving nth-Order Fredholm Integrodifferential Equations The Economics of Network Reconfiguration and Shunt Compensation on a 33 kV Distribution Network Rheological Study of Formate (Nacl) and Ethylene Glycol Based Drilling Fluid Using MATLAB
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1