EconPapers    
Economics at your fingertips  
 

Does IFRS information on tax loss carryforwards and negative performance improve predictions of earnings and cash flows?

Sandra Dreher (), Sebastian Eichfelder () and Felix Noth ()
Additional contact information
Sandra Dreher: Otto-von-Guericke-Universität Magdeburg
Sebastian Eichfelder: Otto-von-Guericke-Universität Magdeburg
Felix Noth: Otto-von-Guericke-Universität Magdeburg

Journal of Business Economics, 2024, vol. 94, issue 1, No 1, 39 pages

Abstract: Abstract We analyze the usefulness of accounting information on tax loss carryforwards and negative performance to predict earnings and cash flows. We use hand-collected information on tax loss carryforwards and corresponding deferred taxes from the International Financial Reporting Standards tax footnotes for listed firms from Germany. Our out-of-sample tests show that considering accounting information on tax loss carryforwards does not enhance performance forecasts and typically even worsens predictions. The most likely explanation is model overfitting. Besides, common forecasting approaches that deal with negative performance are prone to prediction errors. We provide a simple empirical specification to account for that problem.

Keywords: Performance forecast; Out-of-sample tests; Deferred tax assets; Tax loss carryforwards (search for similar items in EconPapers)
JEL-codes: C53 M40 M41 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11573-023-01147-7 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:jbecon:v:94:y:2024:i:1:d:10.1007_s11573-023-01147-7

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11573

DOI: 10.1007/s11573-023-01147-7

Access Statistics for this article

Journal of Business Economics is currently edited by Günter Fandel

More articles in Journal of Business Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-12
Handle: RePEc:spr:jbecon:v:94:y:2024:i:1:d:10.1007_s11573-023-01147-7