ARIMA-GARCH方法的实施是将日元兑换成印尼盾

Bintang Sirius, Widyanti Rahayu, Yudi Mahatma
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引用次数: 0

摘要

买卖交易总是被人们用来满足他们的需求。他们使用的交易工具之一就是金钱。每个国家都有自己的货币,包括日本,日元在2022年4月将继续经历超过5-10%的大幅下跌。因此,有必要预测日元的升值/贬值幅度。经过检验和预测,认为ARIMA(3,1,3) - GARCH(1,1)模型是最适合分析本研究数据的模型。这是因为该模型可以克服数据的同质性。从2022年8月到2023年7月日元对印尼盾的兑换可以预测为有波动,MAPE值为19.29%,这表明ARIMA(3,1,3) - GARCH(1,1)的精度水平足以用于兑换数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementasi Metode ARIMA-GARCH Terhadap Peramalan Konversi Mata Uang Yen ke Rupiah
Buying and selling transactions are always used by humans to meet their needs. One of the transaction tools used is money. Each country has its own currency including Japan, with Yen continues to experience a significant decline throughout April 2022 exceeding 5-10%. Therefore, it is necessary to anticipate the rate of increase/decrease in Yen. After testing and forecasting, it was concluded that the most appropriate model for analyzing the data in this study was the ARIMA(3,1,3) - GARCH (1,1) model. This is because the model can overcome the homogeneity of the data. The conversion of Yen to Rupiah currency from August 2022 to July 2023 can be predicted to have fluctuations, and produce a MAPE value of 19.29%, which indicates that the precision level of the ARIMA(3,1,3) - GARCH(1,1) is good enough to use for the conversion data.
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