What is it about?
This study discusses the application of time series statistical methods and machine learning in modeling and forecasting the Indonesian Rupiah exchange rate
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Why is it important?
The approach method used has not been used by previous research in predicting the rupiah exchange rate. In addition, the forecasting results obtained are accurate
Perspectives
I hope this research is useful and can be used as a reference for other cases, especially those related to macroeconomics.
Lexy Sinay
Universitas Pattimura
Read the Original
This page is a summary of: Indonesian rupiah exchange rate prediction using a hybrid ARIMA and neural network model, January 2021, American Institute of Physics,
DOI: 10.1063/5.0059512.
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