THE INFORMATION CONTENT OF LOSSES VERSUS PROFITS AND THE DENOMINATOR EFFECT OF RISK

ABSTRACT In this paper, we investigate the information content of losses and the denominator effect of risk on earnings informativeness. The information content of losses tends to be lower than profits since the firms’ market value is better explained by liquidation value rather than earnings news. Similarly, earnings of high-risk firms tend to be less informative since risk influences the discount rate of valuation models. Through a sample of 436 Brazilian public firms (4,086 firm-year observations), the results demonstrate that risk influences how earnings from companies reporting losses and profits are perceived, showing that losses are less informative than profits for low and medium-risk firms, while this difference disappears for high-risk firms. We attribute these results to the explanation of the liquidation or abandonment option, which is corroborated by our analyses. We also tested two alternative explanations for the low informativeness of losses (accounting conservatism and hidden assets) and observed that neither of the explanations are corroborated by our findings. Our results contribute to accounting and finance literature, providing evidence that high-risk firms are valued similarly to loss firms in terms of earnings informativeness, which has not been previously demonstrated.

Authors

Institutions

Publication Details

Journal
Revista de Administração de Empresas
Published
2025-01-01
DOI
https://doi.org/10.1590/s0034-759020250502
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE INFORMATION CONTENT OF LOSSES VERSUS PROFITS AND THE DENOMINATOR EFFECT OF RISK

Jorge Luiz de Santana Júnior, Renê Coppe Pimentel, Mara Jane Contrera Malacrida
Revista de Administração de Empresas
Auditing, Earnings Management, Governance
article

THE INFORMATION CONTENT OF LOSSES VERSUS PROFITS AND THE DENOMINATOR EFFECT OF RISK

Jorge Luiz de Santana Júnior, Renê Coppe Pimentel, Mara Jane Contrera Malacrida
article en

Abstract

ABSTRACT In this paper, we investigate the information content of losses and the denominator effect of risk on earnings informativeness. The information content of losses tends to be lower than profits since the firms’ market value is better explained by liquidation value rather than earnings news. Similarly, earnings of high-risk firms tend to be less informative since risk influences the discount rate of valuation models. Through a sample of 436 Brazilian public firms (4,086 firm-year observations), the results demonstrate that risk influences how earnings from companies reporting losses and profits are perceived, showing that losses are less informative than profits for low and medium-risk firms, while this difference disappears for high-risk firms. We attribute these results to the explanation of the liquidation or abandonment option, which is corroborated by our analyses. We also tested two alternative explanations for the low informativeness of losses (accounting conservatism and hidden assets) and observed that neither of the explanations are corroborated by our findings. Our results contribute to accounting and finance literature, providing evidence that high-risk firms are valued similarly to loss firms in terms of earnings informativeness, which has not been previously demonstrated.

Revista de Administração de EmpresasVol. 65(5)
Universidade de São Paulo (BR), Fucape Business School (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Openalex Percentile: Top 84%
Auditing, Earnings Management, Governance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.