信念对感知信号精度的影响:信息提供方式与新闻影响

Stefanie Schraeder
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引用次数: 0

摘要

在一个信息日益丰富的世界里,理性的投资者可以做出更好的决策。然而,以强化为导向的投资者也更有可能观察到与自己的感知接近的首选信号。对这些信号的关注会在先前估计的方向上扭曲感知到的聚合信号。这减少了信念适应。因此,经验充分证明的选择性暴露/强化理论减少了更多信息可获得性对价格效率的影响。额外的信息有时甚至会降低感知的正确性。在一个投资者有偏见的市场中,面对负面(正面)信息,管理者有动机宣布更多、更分散(更少、更精确)的信号。这导致了收益公告后的漂移和分散异常。此外,分布形状对信息处理也很重要。对于单峰对称分布,智能体的感知收敛于基本分布——尽管速度降低了。对于多模态信号分布,估计可能偏离基本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When Beliefs Influence the Perceived Signal Precision: Information Provision Style and the Impact of News
In a world of increasingly extensive information, rational investors can make better decisions. However, reinforcement-oriented investors are also more likely to observe preferred signals close to their own perception. A focus on these signals distorts the perceived aggregate signal in the direction of the prior estimate. This reduces belief adaptation. Hence, the empirically well-documented selective exposure / reinforcement theory reduces the impact of greater information availability on price efficiency. Additional information can sometimes even decrease perception correctness. In a market with biased investors, managers have an incentive to announce more, diffuse (fewer, precise) signals in case of negative (positive) information. This results in post-earnings-announcement drift and dispersion anomaly. Also, the distribution shape matters for information processing. For unimodal, symmetric distributions, agents' perceptions converge to the fundamental -- even though at a reduced speed. For multimodal signal distributions, the estimate can diverge from the fundamental.
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