适应性预期、时间序列模型和分析师预测修正

L. Brown, Michael S. Rozeff
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引用次数: 52

摘要

分析师修改季度收益预测的过程被分析并与几个季度收益时间序列模型修改预测的方式进行比较。分析师预测修正的很大一部分原因是最近一个季度的预测错误。分析师的修正是自适应的,就像单期预测模型是自适应的一样。从更长远的角度来看,有证据表明,分析师修正预测的方式与季度收益自回归模型的修正方式相同,而不是像移动平均模型那样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Expectations, Time-Series Models, and Analyst Forecast Revision
The process by which analysts revise quarterly earnings forecasts is analyzed and compared to the way in which several time-series models of quarterly earnings revise forecasts. A significant portion of the analyst's forecast revision is explained by the most recent one-quarter-ahead forecast error. Analyst revisions are adaptive in the same manner that single-period ahead model forecasts are adaptive. At longer horizons, the evidence is that analysts revise forecasts in the same way that autoregressive models of quarterly earnings revise and not as moving average models do.
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