Forecasting Earnings Surprises from Conference Call Transcripts (2023.findings-acl)
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| Challenge: | Earnings conference calls contain over 5,000 words of text and large amounts of industry jargon . this length and domain-specific language present problems for generic pretrained language models. |
| Approach: | They propose a task of predicting earnings surprises from earnings call transcripts and propose linguistic models that use a long document dataset to test financial understanding. |
| Outcome: | The proposed model can predict earnings surprises from earnings conference calls with reasonable accuracy and shows that it is possible to interpret the data with different interpretability methods. |
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