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RePEcDerivatives & Volatility

Forecasting Global Stock Market Volatility with GNN Model

The article discusses a study that introduces a new volatility forecasting model for global market indices. This model uses a spatial-temporal graph neural network (GNN) and performs better than existing models in short- and mid-term forecasting, potentially leading to economic benefits for investors.

Featured in No. 20 on 12 Oct 2023 · on release day

Released
12 Oct 2023
First featured
No. 20 · 12 Oct 2023
Published in
Not yet, as far as Semantic Scholar knows
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20
Identifier
RePEc:wly:jforec:v:42:y:2023:i:7:p:1539-1559

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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