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English(EN) Do Earnings Calls Help Predict Financial Restatements? Evaluating Text Beyond Public Firm Information

研究:财报电话会议文本可预测财务重述,但大语言模型面临数据泄露问题

一篇新的研究论文探讨了财报电话会议中使用的语言是否可以预测财务重述。研究发现,虽然文本分析可以在一定程度上预测重述,但它并未显著优于现有的公开公司信息。一个大型语言模型表现更好,但引发了对数据泄露和时间相关性的担忧,因为它是在重述发生后发布的数据上训练的。 AI

影响 强调了在金融分析中仔细评估大语言模型性能的必要性,特别是在数据泄露和时间相关性方面。

排序理由 该集群包含一篇发表在arXiv上的研究论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

研究:财报电话会议文本可预测财务重述,但大语言模型面临数据泄露问题

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16 / 100
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Tool
该集群包含一篇发表在arXiv上的研究论文。[lever_c_demoted from research: ic=1 ai=0.4]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Ahmet Efe, Shivank Sapra, Bilal Ahmed ·

    财报电话会议能否预测财务重述?评估公开公司信息之外的文本

    arXiv:2611.01123v1 Announce Type: new Abstract: Financial restatements correct errors in previously published financial reports. Could managers' language in earnings calls warn of them in advance? Comparing 109 calls that precede restatements with 218 matched control calls, we fi…