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日本クオンツ投資戦略: LLMで読み解く四半期決算短信のセンチメント

Published: 2026-06-23Institution: Morgan StanleyPages: 24Original language: 日语Evidence page: 16

Research evidence excerpt

日本クオンツ投資戦略: LLMで読み解く四半期決算短信のセンチメント

IdeaM

補足情報

参考文献

[1] Gyawali, Nikesh, et al. "Evaluating Large Language Models for Stance Detection on

Financial Targets from SEC Filing Reports and Earnings Call Transcripts." arXiv preprint

arXiv:2510.23464 (2025).

[2] Hadlock, Samuel, Jesse Roberts, and Joohun Lee. "Enhancing Post Earnings

Announcement Drift Measurement with Large Language Models." Proceedings of The 10th

Workshop on Financial Technology and Natural Language Processing. 2025.

[3] Jha, Manish, et al. ChatGPT and corporate policies. No. w32161. National Bureau of

Economic Research, 2024.

[4] Li, Qingquan, et al. "Evaluating scoring bias in llm-as-a-judge." International Conference

on Database Systems for Advanced Applications. Singapore: Springer Nature Singapore,

2026.

[5] Lu, Yi-Long, Chunhui Zhang, and Wei Wang. "Systematic bias in large language models:

Discrepant response patterns in binary vs. continuous judgment tasks." arXiv preprint

arXiv:2504.19445 (2025).

[6] Pardawala, Huzaifa, et al. "SubjECTive-QA: Measuring subjectivity in Earnings Call

Transcripts' QA through six-dimensional feature analysis." Advances in Neural Information

Processing Systems 37 (2024): 59342-59372.

[7] 種村賢飛, 久保健治, and 中川慧. "LLM-PEAD.txt: 日本株式市場における LLM を用い

たサプライズ抽出と決算後ドリフトの実証分析." 人工知能学会第二種研究会資料

2025.FIN-035 (2025): 157-163.

[8] 辻晶弘. "生成AIを用いた決算説明サプライズの定量化手法の提案." 人工知能学会第

二種研究会資料 2025.FIN-035 (2025): 135-141.



データに関する補足

四半期決算短信データは、東証上場会社情報サービ

ス(https://www.jpx.co.jp/listing/co-search/index.html)から取得した。「経営成績等の概

況」等に関するテキストは、四半期決算に関するPDFファイルから抽出した。

The English excerpt is extracted automatically from the cited source page and may contain layout or recognition errors. It is never batch translated.

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