Incomplete Information, Idiosyncratic Volatility and Stock Returns

T. Berrada, J. Hugonnier
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引用次数: 34

Abstract

We develop a q-theoretic model of investment under incomplete information that explains the link between idiosyncratic volatility and stock returns. When calibrated to match properties of the US business cycles as well as various firms and industry characteristics, the model generates a negative relation between idiosyncratic volatility and stock returns. We show that conditional on earning surprises, the link is positive after good news and negative after bad news. This result provides new insights on the nature of stock return predictability.
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不完全信息、特殊波动率与股票收益
我们建立了一个不完全信息下的q理论投资模型,解释了特殊波动率与股票收益之间的联系。当经过校准以匹配美国商业周期的属性以及各种公司和行业特征时,该模型在特殊波动率与股票回报之间产生了负相关关系。我们表明,在获得惊喜的条件下,好消息后的联系是正的,坏消息后的联系是负的。这一结果为股票收益可预测性的本质提供了新的见解。
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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