Jia, Ming (2024) Forecasting Financial Distress of Listed Firms Based on Recurrent Attention Networks. In: Proceedings of the 3rd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2024, March 29–31, 2024, Wuhan, China.
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Abstract
Financial distress not only poses a threat to the long-term survival of a company, but also may have a chain reaction on the whole economic system. In recent years, the use of textual information as a feature of financial distress prediction has become a new hotspot, and this study proposes a financ
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:39 |
| Last Modified: | 16 Apr 2026 23:28 |
| URI: | http://eprints.eai.eu/id/eprint/49248 |
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