Bayesian neural networks for stock price forecasting before and during COVID-19 pandemic

Open Access

Peer-reviewed

Research Article

About the Authors

Rohitash Chandra

Contributed equally to this work with: Rohitash Chandra, Yixuan He

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

Affiliation School of Mathematics and Statistics, University of New South Wales, Sydney, Australia

Yixuan He

Contributed equally to this work with: Rohitash Chandra, Yixuan He

Roles Methodology, Visualization

Affiliation School of Mathematics and Statistics, University of New South Wales, Sydney, Australia

The authors have declared that no competing interests exist.

COVID 19
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Neural networks
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Forecasting
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Stock markets
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Recurrent neural networks
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Virus testing
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Artificial neural networks
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Pandemics
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