Cash flow asymmetry: Causes and implications for conditional conservatism research
Daniel W. Collins,
Paul Hribar and
Tian, Xiaoli (Shaolee)
Journal of Accounting and Economics, 2014, vol. 58, issue 2, 173-200
Abstract:
Earnings asymmetric timeliness captures both accrual and operating cash flow (CFO) asymmetric timeliness. Because recognition of operating cash flows does not reflect differential verification thresholds for recognizing unrealized gains versus losses, CFO asymmetry adds noise or bias to tests of conditional conservatism. We show that CFO asymmetry is predictable in the cross-section, and varies systematically with life-cycle characteristics. Removing CFO from earnings and using accruals-based measures of asymmetric timeliness eliminates several biases that prior studies have attributed to other sources. Moreover, accrual asymmetric timeliness varies in the cross-section as theory predicts. Going forward, we recommend researchers use accruals-based asymmetric timeliness measures when testing for conditional conservatism.
Keywords: Conservatism; Asymmetric timeliness; Cash flow asymmetry (search for similar items in EconPapers)
JEL-codes: D21 D82 G38 K41 M41 N20 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165410114000524
Full text for ScienceDirect subscribers only
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:eee:jaecon:v:58:y:2014:i:2:p:173-200
DOI: 10.1016/j.jacceco.2014.08.010
Access Statistics for this article
Journal of Accounting and Economics is currently edited by J. L. Zimmerman, S. P. Kothari, T. Z. Lys and R. L. Watts
More articles in Journal of Accounting and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().