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Brunel University School of Health Sciences and Social Care PhD Theses

Estimating the probability of loss reversal

Abstract

dc:description.abstract

This study aims to examine loss reversals with an emphasis on the effect of research and development expenditures on the probability of experiencing loss reversals. This paper builds on previous research by examining a variety of company variables such as accruals, cashflows, dividends, company size, earnings and R&D expenses against the chance of experiencing loss reversals. This is done with a significantly larger dataset for US data then used in previous studies. It also looks at a more in depth analysis of the effects of post and pre R&D expenditures on the probability of loss reversal. Previous studies such as Joos and Plesko (2005) find that R&D expenditures are considerably lower for persistent (more then one loss over the life of the firm) losses than transitory (one loss over the life of the firm) losses. However they do not analyze the impact of R&D expenditures on the probability of loss reversal. This study is done with the objective to see if earnings can explain the possibility of loss reversal once R&D is accounted for (added to earnings). The results provide evidence that R&D expenditures for the US markets do not have any significant impact on firms experiencing loss reversals.

Degree

thesis:*
Grantor dc:publisher
Brunel University School of Health Sciences and Social Care PhD Theses
Year dc:date.issued
2008

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kaisis, George
Advisors dc:contributor.advisor
  • Gregoriou, A
  • Skerratt, L

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Repository record dc:identifier.uri
http://bura.brunel.ac.uk/handle/2438/2791
OAI identifier oai:identifier
oai:bura.brunel.ac.uk:2438/2791

Chain of custody

source
Harvested from
University of Brunel
Base URL
bura.brunel.ac.uk/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
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citation

Kaisis, George. Estimating the probability of loss reversal. Brunel University School of Health Sciences and Social Care PhD Theses, 2008. http://bura.brunel.ac.uk/handle/2438/2791