歧义重要吗?用多先验递归效用估计资产定价模型

Daehee Jeong, Hwagyun Kim, Joon Y. Park
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引用次数: 0

摘要

本文考虑了考虑决策者对真概率测度模糊性的随机微分效用资产定价模型。在代表性代理设置下,我们经验地评估了包括多先验递归效用在内的备选偏好规范。我们的实证研究结果总结如下:相对风险厌恶程度估计在1-8左右,模糊厌恶程度估计在7.4-15左右。估计的歧义厌恶在经济上和统计上都是显著的,可以解释高达45%的平均股权溢价。正如以前的作者所观察到的,跨期替代的弹性大于1,但其识别似乎很弱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does Ambiguity Matter? Estimating Asset Pricing Models with a Multiple-Priors Recursive Utility
This paper considers asset pricing models with stochastic differential utility incorporating decision makers' concern with ambiguity on true probability measure. Under a representative agent setting, we empirically evaluate alternative preference specifications including a multiple-priors recursive utility. Our empirical findings are summarized as follows: Relative risk aversion is estimated around 1-8 with ambiguity aversion and 7.4-15 without ambiguity aversion. Estimated ambiguity aversion is both economically and statistically significant and can explain up to 45% of the average equity premium. The elasticity of intertemporal substitution is higher than 1 but its identification appears to be weak, as observed by previous authors.
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