JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2016, Vol. 18 ›› Issue (6): 31-38.

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Financial Distress Dynamic Warning Based on Online Public Opinion

  

  1. School of Information, Central University of Finance and Economics, Beijing 100081, China
  • Received:2016-08-16 Online:2016-12-31

Abstract:

Considering the fact that financial information disclosure quality of listed company cannot be
guaranteed, and non-financial indexes rely on specific samples, a financial warning index system based on online
public opinion is established. In order to obtain full information of enterprises, 60 listed companies in self-
media is collected and sentiment analysis is applied to form the online public opinion index. Then, the financial
dynamic warning system is created by integrating the financial index and online public opinion index with the best
length of time window. The empirical results show that the introduction of financial distress dynamic warning
based on online public opinion leads to the improved accuracy in the financial distress forecast and it is also
more adaptable.

Key words: online public opinion, sentiment analysis, financial distress warning, time window

CLC Number: