Long-term earnings growth forecasts: investor sentiment or valuation difficulty?

IF 2.7 4区 管理学 Q2 BUSINESS International Journal of Emerging Markets Pub Date : 2023-10-05 DOI:10.1108/ijoem-07-2022-1116
Kléber Formiga Miranda, Márcio André Veras Machado
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Abstract

Purpose This article analyzes the hypothesis that analysts issue higher long-term earnings growth (LTG) forecasts following a market-wide investor sentiment. Design/methodology/approach This study analyzed 193 publicly traded Brazilian firms listed on B3 (Brasil, Bolsa, Balcão), totaling 2,291 observations. To address the potential selection bias resulting from analysts' preference for more liquid firms, this study used the Heckman model in the analysis with samples with only one analyst and the entire sample. The study also applied other robustness tests to ensure the reliability of the findings. Findings The results suggest that market-wide investor sentiment influences LTG when the firm's stocks are difficult to value. Market optimism did not reflect five-year profit growth after the forecast issue, suggesting lower forecast accuracy during high investor sentiment values. Practical implications Volatile-earnings firms have relevant implications in LTG forecasts during bullish moments. According to the study’s evidence, investors' decisions and policymakers' and regulators' rules should consider analysts' expertise as independent information when considering LTG as input for valuation models, even under market optimism. Originality/value This paper contributes to the literature on the influence of investor sentiment on analysts' forecasts by incorporating two crucial elements in the discussion: the scenario free from herding behavior, as usually only one analyst issues LGT forecast for Brazilian firms, and the analysis of research hypotheses incorporates the difficulty of pricing a firm given the uncertainty of its earnings as an explanation to bullish forecast.
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长期盈利增长预测:投资者情绪还是估值困难?
本文分析了分析师在市场投资者情绪之后发布更高的长期收益增长(LTG)预测的假设。本研究分析了在B3 (Brasil, Bolsa, balc)上市的193家公开交易的巴西公司,共计2291项观察结果。为了解决由于分析师对流动性更强的公司的偏好而导致的潜在选择偏差,本研究在只有一位分析师和整个样本的样本分析中使用了Heckman模型。该研究还应用了其他稳健性测试来确保研究结果的可靠性。结果表明,当公司股票难以估值时,市场投资者情绪会影响LTG。预测发布后,市场乐观情绪并未反映出5年的利润增长,这表明在投资者情绪高涨期间,预测准确性较低。实际影响波动收益公司在看涨时刻对LTG预测有相关影响。根据该研究的证据,即使在市场乐观的情况下,投资者的决策以及政策制定者和监管机构的规则在考虑将LTG作为估值模型的输入时,也应该将分析师的专业知识作为独立信息考虑。本文通过在讨论中纳入两个关键因素,为投资者情绪对分析师预测影响的文献做出了贡献:没有羊群行为的情景,因为通常只有一位分析师对巴西公司发布LGT预测,以及研究假设的分析纳入了考虑到其收益不确定性的公司定价困难作为看涨预测的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.90
自引率
14.80%
发文量
206
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