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Gold Price Forecasting Using Multiple Linear Regression Method by Raras Tyasnurita; Rifqi Rahmadrian Luthfiansyah; Muhamad Rayhan Brameswara is a Computer Science article available to read on EtoBox.

What is Gold Price Forecasting Using Multiple Linear Regression Method about?

Abstract – Price forecasting is a part of economic decision making. Forecasting the daily rise and fall of gold prices can help investors decide when to buy or sell the commodity. The price of gold depends on many factors such as the price of other precious metals, the price of crude oil, the performance of the stock exchange, and the exchange rate of currencies. This study discusses gold price forecasting using the multiple linear regression method. The results of this study indicate that the best model is in the data distribution of 70%: 30% for training and testing, with a MAPE of 4.7% Based on these results, it can be concluded that the use of multiple linear regression method produces a fairly good model for gold prices forecasting. Besides, the correlation analysis show that the price of other precious metals greatly influences the price of gold where in this case the silver price whose correlation value is 0.87. Keywords: forecasting, gold investment, multiple linear regression Abstrak: Peramalan harga merupakan bagian dari pengambilan keputusan ekonomi. Melakukan peramalan terhadap kenaikan dan penurunan harga emas harian dapat membantu investor memutuskan kapan harus membe

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Author

Raras Tyasnurita; Rifqi Rahmadrian Luthfiansyah; Muhamad Rayhan Brameswara

Publisher

LPPM STMIK Royal

Published

2023

Language

ID

Field

Computer Science (Physical Sciences)