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    An international study on the impact of corruption on analysts’ forecasts

    Mamatzakis, Emmanuel (2022) An international study on the impact of corruption on analysts’ forecasts. Journal of International Accounting, Auditing and Taxation 48 , pp. 1-38. ISSN 1061-9518.

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    This study investigates the impact of corruption on financial analysts’ forecast accuracy and forecast uncertainty. I employ an international sample of 71 countries classified into two subsamples of advanced economies and emerging and developing economies to capture underlying heterogeneity. The empirical methodology involves a dynamic panel analysis that tests for persistence while it controls for endogeneity. The main finding shows that corruption increases forecast uncertainty and reduces forecast accuracy, though some variability is observed across countries. Given the complexities of the underlying relationships, I also investigate two other channels through which corruption could affect analysts’ forecasts using interactions terms with earnings management and rule of law. Earnings management amplifies the negative impact of corruption on forecast accuracy, whereas the rule of law mitigates it. Robustness analysis further demonstrates that anti-corruption policy interventions, such as enhancing legal enforcement and providing greater freedom, improve analysts’ forecast accuracy.


    Item Type: Article
    School: Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School
    Research Centres and Institutes: Accounting and Finance Research Centre
    Depositing User: Emmanuel Mamatzakis
    Date Deposited: 12 Sep 2022 16:15
    Last Modified: 05 Jul 2024 00:10


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