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August 6, 2025Journal of Business and Socio-economic Development

Forecasting stock market behavior in BRICS economies using artificial neural machine learning models

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Authors

SPShrikant PanigrahiUniversity of BahrainGKGagan KukrejaUniversity of BahrainSKSumathi KumaraswamyUniversity of Bahrain

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Implication

This research demonstrates how machine learning models forecast stock market behavior in BRICS nations, suggesting LSTM is particularly effective.

Key Points

  • The forecasting study examines stock market behavior in BRICS nations using machine learning techniques.
  • LSTM models indicated positive returns for Brazil, India, and South Africa, while China and Russia showed negative trends.
  • Forecast accuracy was evaluated with performance metrics like RMSE and MAE, highlighting the effectiveness of LSTM.
  • Results inform investors and policymakers about the predictive reliability of stocks in emerging markets, especially India and China.

Cite This Study

Panigrahi et al. (2025) studied this question.

synapsesocial.com/papers/689522009f4f1c896c428eedhttps://doi.org/10.1108/jbsed-05-2025-0134
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