Real Earnings Management Uncertainty and Corporate Credit Risk

Tsung-Kang Chen, Yijie Tseng and Yu-Ting Hsieh

European Accounting Review, 2015, vol. 24, issue 3, 413-440

Abstract: This study examines the accounting information uncertainty effects on corporate credit risk from the perspective of real earnings management (RM) activities by investigating 9565 American bond observations from year 2001 to 2008. The main results show that the volatilities of RM activities significantly and positively affect corporate bond yield spreads when well-known bond spread determinant variables are controlled. In addition, the results are robust to alternative model specifications, including the suspect firm analyses, another less ambiguous measure of abnormal cash flows from operations, and abnormal production cost analyses in manufacturing industry or with control of the input price variation. This research also finds that the positive effects of RM volatilities become weaker if a firm has a lower credit rating. Finally, our results remain hold with considering endogeneity issues and analyst characteristic variables and for another estimation period of RM volatilities.

Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://hdl.handle.net/10.1080/09638180.2014.918518 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:euract:v:24:y:2015:i:3:p:413-440

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/REAR20

DOI: 10.1080/09638180.2014.918518

Access Statistics for this article

European Accounting Review is currently edited by Laurence van Lent

More articles in European Accounting Review from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().