何时分散风险价格为正值?

A. David, Amel Farhat
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引用次数: 3

摘要

我们提供了强有力的证据,证明分析师在股票回报横截面上的分散风险价格随时间变化,特别是在分析师分散程度高(低)的时期转为正(负)。我们的结果适用于对贝塔系数和总体分散系数进行双重排序的一组投资组合,以及Kenneth French创建的36组不同的测试投资组合。我们构建了一个一般均衡模型,在这个模型中,不同类型的分析师对总收益增长有着异质的信念。消费者不完全信任任何一个分析师,并根据他们过去预测业绩的历史动态调整给予每个分析师的权重。在均衡状态下,每种资产的风险溢价取决于其对三个因素的敞口:(i)市场投资组合,(ii)宏观经济因素,以及(iii)“避险”因素。第一项随色散减小,而第三项随色散增大。这些变化的发生是因为投资者在高分散期间转向现金流贝塔系数较低的资产。我们在数据中找到了这种转向安全的强有力支持。
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When is the Price of Dispersion Risk Positive?

We provide robust evidence that the price of analysts' dispersion risk in the cross-section of stock returns changes sign over time, and in particular, turns positive (negative) in periods of high (low) analysts' dispersion. Our result holds for a set of portfolios that are double-sorted on their betas and their coefficients on aggregate dispersion, as well as 36 different sets of test portfolios created by Kenneth French. We construct a general equilibrium model in which analysts of different types have heterogeneous beliefs about aggregate earnings growth. The consumer does not trust either analyst fully, and dynamically adjusts the weight given to each analyst, given the history of their past forecast performance. In equilibrium, each asset's risk premium depends on its exposure to three factors: (i) the market portfolio, (ii) the macroeconomic factor, and, (iii) a ``flight-to-safety'' factor. The first term decreases with dispersion, while the third term increases. These changes occurs because investors shift into assets with lower cash flow betas during periods of high dispersion. We find strong support for such a flight-to-safety in the data.
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