[go: up one dir, main page]

  EconPapers    
Economics at your fingertips  
 

Capitalizing research & development and ‘other information’: the incremental information content of accruals versus cash flows

Tami Dinh Thi () and Wolfgang Schultze ()

Metrika: International Journal for Theoretical and Applied Statistics, 2011, vol. 22, issue 3, 278 pages

Abstract: This paper studies the role of the accrual process for providing value relevant information on intangibles. Expensing research & development (R&D) expenditures is, by nature, equivalent to cash accounting. Prior studies have found that accrual information has superior explanatory power for market values compared to cash flows (Dechow in J. Account. Econ. 18(1):3–42, 1994 ). We demonstrate, for a sample of German firms, that this also holds true for R&D accounting. By adjusting the earnings we create two samples reflecting R&D capitalization and expensing, respectively. We demonstrate that capitalizing R&D expenditures creates an additional accrual component of earnings which increases the explanatory power of earnings compared to cash flows (expensing) while internalizing ‘other information’ into the accounting system. This explains the higher value relevance of capitalized R&D compared to expensing established in prior research (Lev and Sougiannis in J. Account. Econ. 21(1):107–138, 1996 ). Copyright Springer Verlag 2011

Keywords: Accruals; Other information; Research and development; Value relevance (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1007/s00187-011-0137-4 (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:spr:metrik:v:22:y:2011:i:3:p:241-278

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/184/PS2

DOI: 10.1007/s00187-011-0137-4

Access Statistics for this article

Metrika: International Journal for Theoretical and Applied Statistics is currently edited by U. Kamps and Norbert Henze

More articles in Metrika: International Journal for Theoretical and Applied Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2024-11-22
Handle: RePEc:spr:metrik:v:22:y:2011:i:3:p:241-278