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A delisting prediction model based on nonfinancial information
- Hwang, In Tae;
- Kang, Sun Min;
- Jin, Shun Ji
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WEB OF SCIENCE
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17초록
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
- 발행일
- 2014-02
- 유형
- Article
- 권
- 21
- 호
- 3
- 페이지
- 328 ~ 347
- 언어
- ENG
- 출판사
- ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
- 발행국가
- 영국
- 분량
- 20 페이지
- ISSN
- E 2164-2257
P 1608-1625