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This is a Quantitative Study study.

Forecasting Jakarta Islamic Index Stock Prices: A Comparative Study of ARIMA and Holt’s Double Exponential Smoothing

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This analysis compares forecasting methods for stock price prediction in the Jakarta Islamic Index, suggesting ARIMA as optimal.

The forecast for Jakarta Islamic Index stock prices should use the ARIMA method, achieving a MAPE of 1.5292%.
Compared to Holt's Double Exponential Smoothing, ARIMA is better suited for stock price predictions in this context.
Time series analysis was employed to assess the accuracy of forecasting methods for stock prices.
ARIMA modeling requires stationarity and parameter significance, while Holt's method has fewer assumptions.

Nur'aini et al. (2025) studied this question.

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