预测流通股

Zachary R. Kaplan, Nathan T. Marshall, Jerry D. Mathis, Hanmeng Ivy Wang
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摘要

尽管每股盈利预测作为基准很重要,但人们对其分母却知之甚少:未完成预测的股票。由于投资客户对准确的股票预测的需求有限,我们预测分析师战略性地制定股票预测以促进每股收益激励。我们将收益预测除以每股收益预测来推断分析师的股票预测并评估其属性。分析师对流通股的预测远不如简单的时间序列模型准确;然而,这些预测实际上提高了EPS预测的准确性。另一项分析解释了其中的原因:分析师利用股价预测将每股收益推向市场共识。也就是说,股票预测误差往往与街头盈利预测误差具有相同的标志,使每股收益更接近共识和实际每股收益,并显着减少每股收益的分散性。分析师似乎也利用股价预测来迎合管理层。具体来说,股票预测的偏差有助于公司达到或超过每股收益基准(“MB”)的能力,并且与管理者的偏好一致(即,在短期内降低每股收益预测,在长期内提高预期)。MB效应之所以产生,很大程度上是因为分析师没有考虑到流通股的可预测变化,比如过去的回购情况。与卖方分析师的访谈证实,客户对股票预测的需求有限,这与我们研究中记录的预测的疏忽和战略使用一致。
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Forecasting Shares Outstanding
Despite the importance of EPS forecasts as benchmarks, little is known about their denominator: shares outstanding forecasts. Because investing clients have limited demand for accurate share forecasts, we predict that analysts develop share forecasts strategically to facilitate EPS incentives. We divide earnings forecasts by EPS forecasts to infer analysts’ share forecasts and evaluate their properties. Analysts’ forecasts of shares outstanding are significantly less accurate than simple time-series models; however, these same forecasts actually improve EPS forecast accuracy. Additional analysis explains why: analysts use share forecasts to herd EPS toward the consensus. That is, share forecast errors often have the same sign as street earnings forecast errors, moving EPS closer to the consensus and to actual EPS, and significantly reducing EPS dispersion. Analysts also appear to use share forecasts to cater to management. Specifically, bias in share forecasts facilitates firms’ ability to meet or beat (“MB”) EPS benchmarks and is consistent with manager preferences (i.e., deflating EPS forecasts at short horizons and inflating at longer horizons). Much of the MB effect arises because analysts fail to incorporate predictable variation in shares outstanding, such as past repurchases. Interviews with sell-side analysts confirm that clients have limited demand for share forecasts, consistent with the inattention and strategic use of forecasts documented in our study.
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