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Mining semantic features in current reports for...
Journal article

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

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 …

Authors

Jiang C; Lyu X; Yuan Y; Wang Z; Ding Y

Journal

International Journal of Forecasting, Vol. 38, No. 3, pp. 1086–1099

Publisher

Elsevier

Publication Date

July 2022

DOI

10.1016/j.ijforecast.2021.06.011

ISSN

0169-2070