高阶平滑模糊偏好与资产价格

Julian Thimme, Clemens Völkert
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引用次数: 3

摘要

本文扩展了Klibanoff, Marinacci, and Mukerji(2005, 2009)提出的递归平滑模糊决策模型,放宽了对高阶行为施加的一致性。这种概括允许对跨期替代、风险态度和对不同不确定性来源的态度进行分离。我们的决策模型适用于受试者可能以不同方式处理几种不确定性的情况。我们将偏好规范应用于具有长期风险的基于消费的资产定价模型,并评估模糊性对资产价格和可预测性模式的影响。我们发现,通过高阶平滑模糊偏好对不确定性的建模态度对资产价格具有重要意义。我们的模型产生了一个高度波动的价格股息比和与数据一致的可预测性模式。
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High Order Smooth Ambiguity Preferences and Asset Prices
This paper extends the recursive smooth ambiguity decision model developed in Klibanoff, Marinacci, and Mukerji (2005, 2009) by relaxing the uniformity imposed on higher order acts. This generalization permits a separation of intertemporal substitution, risk attitude, and attitudes towards different sources of uncertainty. Our decision model is suited in situations where subjects may treat several kinds of uncertainty in different manners. We apply our preference specification to a consumption-based asset pricing model with long run risks and assess the impact of ambiguity on asset prices and predictability patterns. We find that modeling attitudes towards uncertainty through high order smooth ambiguity preferences has important implications for asset prices. Our model generates a highly volatile price-dividend ratio and predictability patterns in line with the data.
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