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Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models.

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Title: Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models.
Authors: Enow, Samuel Tabot1
Source: International Journal of Research in Business & Social Science. Apr2026, Vol. 15 Issue 3, p226-232. 7p.
Database: Business Source Ultimate
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An: 194601567
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PubType: Academic Journal
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  Data: Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Research+in+Business+%26+Social+Science%22">International Journal of Research in Business & Social Science</searchLink>. Apr2026, Vol. 15 Issue 3, p226-232. 7p.
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        Value: 10.20525/ijrbs.v15i3.4982
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 226
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      – TitleFull: Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models.
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              Text: Apr2026
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              Y: 2026
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