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Google Trends—Augmented XGBoost for market volatility prediction: A machine learning early warning system

Gagan Deep et al.

Journal of Behavioral and Experimental Finance2026https://doi.org/10.1016/j.jbef.2026.101159article
AJG 1ABDC A
Weight
0.50

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https://doi.org/https://doi.org/10.1016/j.jbef.2026.101159

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@article{gagan2026,
  title        = {{Google Trends—Augmented XGBoost for market volatility prediction: A machine learning early warning system}},
  author       = {Gagan Deep et al.},
  journal      = {Journal of Behavioral and Experimental Finance},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.jbef.2026.101159},
}

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Google Trends—Augmented XGBoost for market volatility prediction: A machine learning early warning system

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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