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Research Article

Disclosure delay and financial distress prediction: based on Chinese annual reports disclosure system

ORCID Icon, , &
Pages 2098-2101 | Published online: 11 Jul 2022
 

ABSTRACT

Based on the data of Shanghai and Shenzhen A-share listed companies from 2009 to 2018, we explore the impact of delayed disclosure of annual report on the accuracy of financial distress prediction. We find that the information of disclosure delay can significantly improve the accuracy of financial distress prediction. After using alternative measurement of the disclosure delay and considering the endogeneity problem, our conclusions are robust. Our study provides reference for regulatory authorities to standardize the companies’ disclosure behaviours and prevent and resolve their major risks.

JEL CLASSIFICATION:

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the the Fundamental Research Funds for the Central Universities [202011120].

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