Discussion of “Conservatism, Growth and the Role of Accounting Numbers in Fundamental Analysis Process”
Xiao-Jun Zhang ()
Additional contact information
Xiao-Jun Zhang: University of California at Berkeley
Review of Accounting Studies, 2005, vol. 10, issue 2, No 7, 267 pages
Abstract:
Abstract This paper discusses Monahan’s empirical study of how conservative accounting of R&D affects the relations (i) between earnings and stock return; (ii) between estimates of value using the residual income valuation model and equity market value. My discussion focuses on the underlying mechanism of why growth matters and how the growth rate should be measured. In particular, I argue that different aspects of growth (e.g., short-term growth versus long-term growth) matter under different circumstances, depending on the intended use of accounting data. Failure to adjust for these differences affects the effectiveness of the empirical tests. The discussion also considers the impacts of potential noise in the R&D capitalization procedure and the presence of other intangible assets.
Keywords: conservative accounting; growth measurement; research and development (search for similar items in EconPapers)
JEL-codes: G12 M41 O32 (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11142-005-1531-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:reaccs:v:10:y:2005:i:2:d:10.1007_s11142-005-1531-7
Ordering information: This journal article can be ordered from
http://www.springer.com/accounting/journal/11142
DOI: 10.1007/s11142-005-1531-7
Access Statistics for this article
Review of Accounting Studies is currently edited by Paul Fischer
More articles in Review of Accounting Studies from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().