Rice Price Prediction in Malaysia

Nor Haziqah Mohd Yusri, Nur Amalina binti Shafie, N. A. M. Ghani
{"title":"Rice Price Prediction in Malaysia","authors":"Nor Haziqah Mohd Yusri, Nur Amalina binti Shafie, N. A. M. Ghani","doi":"10.1109/ICOCO56118.2022.10031931","DOIUrl":null,"url":null,"abstract":"Rice is a staple food in Malaysia. There are three leading crops consumed by humans which include rice, wheat, and maize. Among these three crops, rice is by far the most important for people in low and low-middle-income countries. Thus, rice has a pivotal role as a source of nutrition for most Malaysians and a principal source of income for farmers. In this study, a data set of monthly rice prices in Malaysia from January 2013 to December 2021 is used from IndexMundi. A total of108 observations were examined by using the Box-Jenkins method which is Autoregressive Integrated Moving Average (ARIMA). This study found that the ARIMA(2,1,1) is the best model using the data based on Akaike’s Information Criterion (AIC) and Bayesian Information Criterion (BIC) value. This research aimed to identify the behavior, the best fit model, and forecast the future value of rice prices in Malaysia.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Computing (ICOCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOCO56118.2022.10031931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Rice is a staple food in Malaysia. There are three leading crops consumed by humans which include rice, wheat, and maize. Among these three crops, rice is by far the most important for people in low and low-middle-income countries. Thus, rice has a pivotal role as a source of nutrition for most Malaysians and a principal source of income for farmers. In this study, a data set of monthly rice prices in Malaysia from January 2013 to December 2021 is used from IndexMundi. A total of108 observations were examined by using the Box-Jenkins method which is Autoregressive Integrated Moving Average (ARIMA). This study found that the ARIMA(2,1,1) is the best model using the data based on Akaike’s Information Criterion (AIC) and Bayesian Information Criterion (BIC) value. This research aimed to identify the behavior, the best fit model, and forecast the future value of rice prices in Malaysia.
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
马来西亚大米价格预测
大米是马来西亚的主食。人类食用的三种主要作物包括水稻、小麦和玉米。在这三种作物中,水稻对低收入和中低收入国家的人们来说是最重要的。因此,大米作为大多数马来西亚人的营养来源和农民的主要收入来源具有关键作用。在本研究中,马来西亚2013年1月至2021年12月的月度大米价格数据集来自IndexMundi。采用自回归综合移动平均(ARIMA)的Box-Jenkins方法对108个观测值进行了检验。本研究发现,基于赤池信息准则(AIC)和贝叶斯信息准则(BIC)值的数据,ARIMA(2,1,1)是最佳模型。本研究旨在确定行为,最佳拟合模型,并预测未来价值的大米价格在马来西亚。
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
自引率
0.00%
发文量
0
期刊最新文献
Preliminary Study on the Effect of Traffic Representation on Accuracy Degradation in Machine Learning-based IoT Device Identification Residual Value Prediction A Framework for Supporting Deaf and Mute Learning Experience Through Extended Reality A Comparative Study of Monolithic and Microservices Architectures in Machine Learning Scenarios Salient feature extraction using Attention for Brain Tumor segmentation
×
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