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金融ネットワークの指標の大型言語モデル駆動のタイムシリーズ予測

Mini Han Wang1,2, Ying Yeung3

  • 1The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.

Frontiers in artificial intelligence
|February 16, 2026
PubMed
まとめ

この研究は,金融市場ネットワークの予測のための大規模な言語モデル (LLM) フレームワークを導入し,システムリスクの予測を改善し,投資家に経済的洞察を提供します.

キーワード:
集中力の度合い 集中力の度合い金融ネットワーク分析 金融ネットワーク分析大型言語モデル (LLM)残留密度についてリトリーバルの拡張生成 (RAG)株式情報ネットワーク 株式情報ネットワークシステムリスクと市場の安定性タイムシリーズの予測

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