Management earnings forecasts in a continuous disclosure environment

Howard Chan, Robert Faff, Yew Kee Ho, Alan Leigh Ramsay*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

17 Citations (Scopus)

Abstract

Purpose – The purpose of this paper is to assess management earnings forecasts in a continuous disclosure environment. 

Design/methodology/approach – A large sample of hand checked Australian management earnings forecasts are examined. These data are analysed using a series of logistic regressions. Hypotheses are proposed and tested based on Skinner's litigation cost hypothesis. Increases in non-routine management earnings forecasts post-2000; and increases in the proportion of such forecasts that contain bad news are predicted. The relationship between forecast specificity and forecast news content is investigated. 

Findings – It was found that, post-2000, legislative changes and increased enforcement action by ASIC were followed by increased disclosure of non-routine management earnings forecasts. For routine forecasts, no significant increase in forecast disclosure is observed. This result is consistent with Skinner as is the finding that the increased disclosure is only apparent for bad news non-routine forecasts. For the second objective, evidence was found that the larger the gap between market expectations and actual performance the more specific the forecast, but only for bad news forecasts. 

Originality/value – The study extends the small amount of research investigating the characteristics of management earnings forecasts. It also provides an assessment of the effectiveness of efforts by ASIC to ensure that management meet their continuous disclosure obligations.

Original languageEnglish
Pages (from-to)5-30
Number of pages26
JournalPacific Accounting Review
Volume19
Issue number1
DOIs
Publication statusPublished - 6 Feb 2007
Externally publishedYes

Fingerprint

Dive into the research topics of 'Management earnings forecasts in a continuous disclosure environment'. Together they form a unique fingerprint.

Cite this