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分析师预测的"技术"含量——基于Week52high的经验证据

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本文以2007-2020年中国A股上市企业为样本,重点探讨技术分析是否影响分析师预测.研究发现:1)技术分析显著影响分析师预测.当股价接近52周历史高点(Week52high上升),分析师评级出现明显变化,预测偏差和预测分歧也随之下降;2)来自机构投资者的压力越小,信息披露质量越高时,技术分析对分析师预测的影响越强.进一步研究发现:受"决策疲劳"影响,发布越多研报的分析师,其决策过程越依赖技术分析;与常识相悖,明星分析师从技术分析中"获益"更多;技术分析可能具有"信号"功能,触发技术指标能够有效增加分析师调研和研报发布,最终提升股价信息含量.
The"technical"content of analysts'forecasts—Based on empirical evidence from Week52high
This article investigates the influence of technical analysis on analyst forecasts us-ing data from Chinese A-share listed companies spanning 2007 to 2020.Our findings reveal:1)Technical analysis significantly affects analyst forecasts,particularly evident when stock prices approach their 52-week historical highs(Week52high rises),resulting in notable shifts in analyst ratings alongside reduced forecast bias and dispersion.2)The effect of technical analysis on analyst forecasts is heightened under conditions of diminished institutional investor pressure and enhanced information disclosure quality.Further analysis suggests that analysts producing a higher volume of research reports tend to increasingly rely on technical analysis due to"decision fatigue."Surprisingly,star analysts derive greater benefits from technical analysis,contrary to common perception.Additionally,technical analysis may serve as a signaling mechanism,as triggering technical indicators effectively stimulates analyst research and report releases,thereby enhancing the informational content of stock prices.

technical analysisanalyst forecastsweek52high

王谨乐、杨振宇、史永东

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东北财经大学金融科技学院,大连 116025

东北财经大学金融学院,大连 116025

技术分析 分析师预测 Week52high

国家社会科学基金重大项目国家自然科学基金辽宁省教育厅项目辽宁省教育科学规划

19ZDA09472172029JYTMS 20230658JG22DB243

2024

系统工程理论与实践
中国系统工程学会

系统工程理论与实践

CSTPCDCSSCI北大核心
影响因子:1.575
ISSN:1000-6788
年,卷(期):2024.44(6)