A delisting prediction model based on nonfinancial information

Citations

WEB OF SCIENCE

10
Citations

SCOPUS

17

초록

The purpose of this study is to develop a model for predicting firm delistings based on nonfinancial information. The delisting model using nonfinancial information is more meaningful in that it can provide diverse stakeholders with earlier warning signals for predicting delistings. Nonfinancial information is generally disclosed to the public in a timely manner because it requires no procedure involving the settlement of accounts and audits. The results suggest that stakeholders should pay close attention to various qualitative factors that are not expressed in financial to predict delistings as early as possible and thus to minimize social losses from delistings.

키워드

delisting; nonfinancial information; financial information; timeliness; CORPORATE GOVERNANCE; BANKRUPTCY; FRAUD; RATIOS
제목
A delisting prediction model based on nonfinancial information
저자
Hwang, In Tae; Kang, Sun Min; Jin, Shun Ji
DOI
10.1080/16081625.2014.882322
발행일
2014-02
유형
Article
저널명
Asia-Pacific Journal of Accounting and Economics
권
21
호
3
페이지
328 ~ 347