Mining semantic features in current reports for financial distress prediction: Empirical evidence from unlisted public firms in China

Volume: 38, Issue: 3, Pages: 1086 - 1099
Published: Jul 1, 2022
Abstract
It is difficult to predict the financial distress of unlisted public firms due to their longer disclosure cycle of accounting information and more inadequate continuity of market trading information compared to listed firms. In this paper, we propose a framework to predict the financial distress of unlisted public firms using current reports. Specifically, to better represent the meaning of current report texts, we propose a semantic feature...
Paper Details
Title
Mining semantic features in current reports for financial distress prediction: Empirical evidence from unlisted public firms in China
Published Date
Jul 1, 2022
Volume
38
Issue
3
Pages
1086 - 1099
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