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Author/Affiliation: Sebastianus Bara PrimanandaOpen AccessArticle
9 Pages, 1,367 KB 
Forecasting Gold Price in Rupiah using Multivariate Analysis with LSTM and GRU Neural Networks
Abstract:
Forecasting the gold price movement’s volatility has essential applications in areas such as risk management, options pricing, and asset allocation. The multivariate model is expected to generate more accurate forecasts than univariate models in time series data like gold prices. Multivariate analysis is based on observation and analysis of more than one statistical variable at…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))