I METADATI DI QUESTO DOI SONO STATI AGGIORNATI IL: 2024-01-15 14:45
Titolo completo
FINANCIAL REPORTING
Editore
FrancoAngeli
ISSN
2036-671X (Rivista Stampata)
2036-6779 (Rivista Online)
Numero del fascicolo
2
Designazione del fascicolo
2
Data del fascicolo
2023
Titolo completo
Accrual quality, investor reaction to earnings, and the confirmatory role of sales news
Di (autore)
Prima Pagina
97
Ultima Pagina
121
Lingua del testo
Inglese
Data di publicazione
2023/11
Copyright
2023 FrancoAngeli srl
Descrizione principale
Purpose: Agency theory predicts that information asymmetry provides agents with an incentive to manipulate performance signals to maximize their utility, which gives principals reasons to distrust such signals. The accounting and finance literature finds empirical support for this prediction by studying how earnings reliability attributes affect investors' reactions to earnings an-nouncements. However, research pays less empirical attention to whether in-vestors skeptical of earnings reliability look for confirmatory signals in other parts of the income statement. This study aims at filling such this research gap. Design/methodology/approach: This study examines investors' combined use of earnings and sales news. It adopts an event-study methodology to ana-lyze whether sales news moderates the stock market response to annual earn-ings announcements. Findings: The results show that investors do not fully trust earnings news if earnings beat analyst expectations and the firm has a reputation for low accru-al quality. In this case, positive sales data alleviate investors' skepticism of earnings news and, thus, make them react more favorably. In contrast, sales data do not affect the market response if the earnings news is negative, or the firm accrual quality is high. These results are robust to different model speci-fications and explanations. Originality/value: The findings shed new light on how investors use sales data to complement earnings news and our understanding of the consequences of accruals quality on investor information processing.
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