Audit quality and analyst forecast accuracy: The impact of forecast horizon and other modeling choices

Yi Ava Wu, Mark Wilson

    Research output: Contribution to journalArticlepeer-review

    19 Citations (Scopus)

    Abstract

    The accuracy and other properties of analyst earnings forecasts represent potentially useful proxies for the impact of audit quality on client financial reports. Extant research in the auditing literature, however, is characterized by diametrically opposite predictions and inconsistent findings regarding the relationship between audit quality and analyst forecast accuracy. We argue that a potential reason for the inconsistency in the literature reflects these studies’ focus on end-of-year forecast accuracy, which is subject to competing effects of audit quality. Highquality auditors may simultaneously improve forecast accuracy through their impact on the decision usefulness of clients’ prior period reports, and reduce forecast accuracy by constraining client attempts to manage earnings in the direction of the consensus forecast. We argue and present evidence in support of the conjecture that analysts’ beginning-of-year forecasts are a superior metric for identifying the impact of audit quality on the properties of analyst forecasts because the decision usefulness effect of audit quality should be dominant with respect to those forecasts.

    Original languageEnglish
    Pages (from-to)167-185
    Number of pages19
    JournalAuditing
    Volume35
    Issue number2
    DOIs
    Publication statusPublished - May 2016

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