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Brazilian Business Review
Article . 2007 . Peer-reviewed
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Brazilian Business Review
Article
License: CC BY
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Brazilian Business Review
Article . 2007 . Peer-reviewed
License: CC BY
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Analysts’Optimism and Selection Bias

Authors: Antonio Lopo Martinez;

Analysts’Optimism and Selection Bias

Abstract

Com base em dados extraídos do sistema I/B/E/S, investiga-se o otimismo das previsões dos analistas de mercados de capitais de empresas brasileiras. O período de estudo foi de janeiro 1995 a dezembro 2002. A pesquisa constata que os analistas de companhias brasileiras são otimistas em média e tem um desempenho ruim em termos de precisão e acurácia. Os erros de previsão de um período se correlacionam com os erros de previsão do período subseqüente. Existe uma nítida persistência do consenso dos analistas no erro, sendo que predominam os que são persistentemente otimistas sobre os que são persistentemente pessimistas. Expõe-se uma possível explicação para o otimismo dos analistas, o viés de seleção. De modo a minimizar o viés, uma metodologia de otimização é proposta que possibilita um ajuste nas previsões de consenso dos analistas, proporcionando melhores estimadores para os lucros esperados. As evidências apresentadas são relevantes, especialmente para aqueles que pretendam incorporar as previsões elaboradas pelos analistas de mercado em seus modelos de avaliação de ações.

This paper is an empirical examination, drawing on the Institutional Brokers Estimate System (I/B/E/S) database, of analysts’ earnings forecast optimism for Brazilian companies. The study found that analysts were optimistic on average and performed poorly in terms of precision and accuracy. The study period was January 1995 to December 2002. The forecasting errors in one period were correlated with the errors of the following period. There was evidence of persistent consensus errors among analysts, with those who were persistently optimistic outweighing those who were persistently pessimistic. A possible explanation for this predominant overoptimism is selection bias. In order to adjust analysts’ consensus forecasts, an optimization methodology is suggested, providing results that minimize the optimism bias. The evidence presented is relevant, especially for those using analysts’ earnings forecasts as an input in their stock valuation models.

Keywords

analistas, previsões de resultados, optimism, earnings forecasts, selection bias, analysts, earnings forecasts, selection bias, otimismo, analysts, viés de seleção, optimism

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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