Consistency as a Means to Comparability: Theory and Evidence
Vivian W. Fang (),
Michael Iselin () and
Gaoqing Zhang ()
Additional contact information
Vivian W. Fang: University of Minnesota, Minneapolis, Minnesota 55455
Michael Iselin: University of Minnesota, Minneapolis, Minnesota 55455
Gaoqing Zhang: University of Minnesota, Minneapolis, Minnesota 55455
Management Science, 2022, vol. 68, issue 6, 4279-4300
Abstract:
This paper studies financial statement consistency — the purported means to comparability — from an information perspective. We model consistency as firms’ required propensity to apply common accounting methods to individual transactions and show that consistency creates information spillover through correlated measurements (“spillover channel”) while potentially reducing the informativeness of one’s own report (“standalone channel”). The model generates two central predictions. First, optimal consistency decreases with a transaction’s fundamental correlation as high correlation diminishes information gains via the spillover channel. Second, optimal consistency decreases with a transaction’s fundamental volatility as high volatility exacerbates information losses via the standalone channel. Empirical evidence supports both predictions. Overall, this paper contributes a framework for studying comparability and draws useful policy implications.
Keywords: financial statement consistency; comparability; informativeness; information spillover; fundamental correlation; fundamental volatility (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.2021.4052 (application/pdf)
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:inm:ormnsc:v:68:y:2022:i:6:p:4279-4300
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().