2015
DOI: 10.1016/j.irfa.2015.08.004
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When did analyst forecast accuracy benefit from increased cross-border comparability following IFRS adoption in the EU?

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Cited by 12 publications
(8 citation statements)
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“…There are also benefits from improvements in information quality. Petaibanlue et al (2015) examine comparability benefits by looking at the increase in the number of peer companies (i.e., companies matched by industry and size) for an IFRS-adopting company and explore how the increase in peers influences analyst forecast accuracy for European companies adopting IFRS. The researchers report improved analyst forecast accuracy for companies that have more new foreign peers.…”
Section: Comparability and Analysts' Information Environmentsmentioning
confidence: 99%
“…There are also benefits from improvements in information quality. Petaibanlue et al (2015) examine comparability benefits by looking at the increase in the number of peer companies (i.e., companies matched by industry and size) for an IFRS-adopting company and explore how the increase in peers influences analyst forecast accuracy for European companies adopting IFRS. The researchers report improved analyst forecast accuracy for companies that have more new foreign peers.…”
Section: Comparability and Analysts' Information Environmentsmentioning
confidence: 99%
“…In addition to regulation and enforcement, accounting standards can have a material impact on financial reporting quality, and consequently the precision of financial analysts' earnings forecasts. Previous studies document that forecast accuracy increases significantly following the adoption of International Financial Reporting Standards (IFRS), which significantly enhance the transparency and comparability of financial information (Tan et al 2011;Horton et al 2013;Petaibanlue et al 2015). As well as institutional factors, auditors can have a direct impact on the usefulness of financial information.…”
Section: Financial Analystsmentioning
confidence: 99%
“…Previous studies focus on posterior effects of analysts' recommendation (Moshirian et al 2009) and pay little attention to the market situation before the recommendation. Although Petaibanlue et al (2015) examine the period before the recommendations; they only do it based on impact on IFRS adoption. Our study makes a vital contribution to market participants and researchers by analyzing both the pre and post recommendation period and use standardized abnormal returns.…”
Section: Introductionmentioning
confidence: 99%