Exploration intensity, analysts’ private information development and their forecast performance

Xiaomeng Chen*, Sue Wright, Hai Wu

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    9 Citations (Scopus)

    Abstract

    This study examines whether analysts in the extractive industries in Australia adjust their private information searching and processing in response to the complexity of information about a firm’s exploration and evaluation (E&E) activities. We find that both the proportion of private information in their forecasts and the accuracy of their forecasts increase with the intensity of E&E activities. Additional analyses reveal that this effect is more pronounced for firms with substantial E&E activities but limited production activities, and that analysts’ private information development activities are mainly related to the capitalized E&E expenditures. Our results provide guidance for both investors and future standard setters. They show that investors can benefit from analysts’ expertise in situations of high information asymmetry. They also provide evidence of the advantage of distinguishing successful from unsuccessful investments in resource exploration when accounting for E&E expenditures, which may inform future decisions about accounting for intangible assets.

    Original languageEnglish
    Pages (from-to)77-107
    Number of pages31
    JournalAccounting and Business Research
    Volume48
    Issue number1
    DOIs
    Publication statusPublished - 2 Jan 2018

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