Comparative Analysis of Time Series Forecasting Models for Predicting Hydrogen Fuel-Related Stock in the Indian Market

The study compares the capabilities of various time series and machine learning models including ARIMA, LSTM, CatBoost, XGBoost, and LightGBM, by predicting the equity movement for major Indian infrastructure and energy companies with hydrogen related exposure, namely Larsen & Toubro, NTPC Limited,...

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Váldodahkkit:	Angel Mary Jais, Nandhini Haribabu Muthuvel, Sunanda Saha, Abhishek Das, Venkatesh Subramanian
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Ram Arti Publishers 2026-06-01
Ráidu:	International Journal of Mathematical, Engineering and Management Sciences
Fáttát:	time series lstm gradient boosting stock market forecasting hydrogen fuel-related stock
Liŋkkat:	https://www.ijmems.in/cms/storage/app/public/uploads/volumes/58-IJMEMS-25-0950-11-3-1424-1443-2026.pdf
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