COMPARATIVE ANALYSIS OF TIME SERIES FORECASTING MODELS USING ARIMA AND NEURAL NETWORK AUTOREGRESSION METHODS

COMPARATIVE ANALYSIS OF TIME SERIES FORECASTING MODELS USING ARIMA AND NEURAL NETWORK AUTOREGRESSION METHODS

Gold price fluctuations have a significant impact because gold is a haven asset. When financial markets are volatile, investors tend to turn to safer instruments such as gold, so gold price forecasting becomes important in economic uncertainty. The novelty of this research is the comparative analysi...

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Bibliographic Details
Main Authors: Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas, Ulya Nabilla
Format: Article
Language:English
Published: Universitas Pattimura 2024-10-01
Series:Barekeng
Subjects:
arima
forecasting
nnar
non-linear
time series
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/13128
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https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/13128

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