Pension liabilities and conservative financial reporting*
Kyongsun Heo,
Jaeyon Chu,
Jennifer Jae-Young Kim and
Jinhan Pae
Asia-Pacific Journal of Accounting & Economics, 2020, vol. 27, issue 6, 649-666
Abstract:
We investigate the relationship between a firm’s conditional financial reporting policy and the tendency to understate pension liabilities in the statement of financial position. We focus on two primary actuarial assumptions for pension liabilities, the discount rate and the salary growth rate, because a small bias in these two actuarial assumptions has a big effect on the estimate of pension liabilities and firms have some latitude in choosing these rates. We predict and find that firms are less likely to choose an upwardly biased discount rate and/or a downwardly biased salary growth rate when their earnings reflect bad news on a timelier basis than good news. Even though the salary growth result is somewhat weak, overall results suggest that firms are less likely to understate their pension liabilities by choosing pension obligation increasing actuarial assumptions when their financial reporting is conditionally more conservative.
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/16081625.2019.1584757 (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:raaexx:v:27:y:2020:i:6:p:649-666
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/raae20
DOI: 10.1080/16081625.2019.1584757
Access Statistics for this article
Asia-Pacific Journal of Accounting & Economics is currently edited by Yin-Wong Cheung, Hong Hwang, Jeong-Bon Kim, Shu-Hsing Li and Suresh Radhakrishnan
More articles in Asia-Pacific Journal of Accounting & Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().