G2TT
来源类型Discussion paper
规范类型论文
来源IDDP15644
DP15644 Information Aggregation and Asymmetric Returns
Elias Albagli; Christian HELLWIG; Aleh Tsyvinski
发表日期2022-06-19
出版年2022
语种英语
摘要We study noisy aggregation of dispersed information in financial markets beyond the usual parametric restrictions imposed on preferences, information, and return distributions. This allows a general characterization of asset returns by means of a risk-neutral probability measure that features excess weight on tail risks. Using this characterization, we show that noisy aggregation of dispersed information provides a unified explanation for several prominent cross-sectional return anomalies such as returns to skewness, returns to disagreement and interaction effects between the two. Moreover, this characterization can be linked to observable moments such as forecast dispersion and accuracy, and simple calibrations suggest the model can account for a significant fraction of empirical return anomalies.
主题Financial Economics
URLhttps://cepr.org/publications/dp15644-0
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/546456
推荐引用方式
GB/T 7714
Elias Albagli,Christian HELLWIG,Aleh Tsyvinski. DP15644 Information Aggregation and Asymmetric Returns. 2022.
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