GOLD PRICE FORECASTING USING MULTIPLE LINEAR REGRESSION METHOD
نویسندگان
چکیده
Abstract – Price forecasting is a part of economic decision making. Forecasting the daily rise and fall gold prices can help investors decide when to buy or sell commodity. The price depends on many factors such as other precious metals, crude oil, performance stock exchange, exchange rate currencies. This study discusses using multiple linear regression method. results this indicate that best model in data distribution 70%: 30% for training testing, with MAPE 4.7% Based these results, it be concluded use method produces fairly good forecasting. Besides, correlation analysis show metals greatly influences where case silver whose value 0.87. Keywords: forecasting, investment, Abstrak: Peramalan harga merupakan bagian dari pengambilan keputusan ekonomi. Melakukan peramalan terhadap kenaikan dan penurunan emas harian dapat membantu investor memutuskan kapan harus membeli atau menjual komoditas. Harga Emas bergantung pada banyak faktor seperti logam mulia lainnya, minyak mentah, kinerja bursa saham, nilai tukar mata uang. Penelitian ini membahas dengan menggunakan metode regresi ganda. Hasil penelitian menunjukkan bahwa terbaik terdapat pembagian pelatihan 70% pengujian 30%, sebesar 4.7%. Berdasarkan hasil tersebut diambil kesimpulan penggunaan ganda menghasilkan yang cukup baik untuk emas. Selain itu, analisis korelasi lainnya sangat mempengaruhi dimana dalam hal variabel perak korelasinya Kata kunci: peramalan; investasi emas,
منابع مشابه
Forecasting Gold Prices Using Multiple Linear Regression Method
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ژورنال
عنوان ژورنال: JURTEKSI (Jurnal Teknologi dan Sistem Informasi)
سال: 2023
ISSN: ['2550-0201', '2407-1811']
DOI: https://doi.org/10.33330/jurteksi.v9i3.1748