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来源类型Working Paper
规范类型报告
DOI10.3386/w21557
来源IDWorking Paper 21557
Dividend Dynamics, Learning, and Expected Stock Index Returns
Ravi Jagannathan; Binying Liu
发表日期2015-09-14
出版年2015
语种英语
摘要We present a latent variable model of dividends that predicts, out-of-sample, 39.5% to 41.3% of the variation in annual dividend growth rates between 1975 and 2016. Further, when learning about dividend dynamics is incorporated into a long-run risks model, the model predicts, out-of-sample, 25.3% to 27.1% of the variation in annual stock index returns over the same time horizon, and learning contributes approximately half of the predictability in returns. These findings support the view that both investors' aversion to long-run risks and their learning about these risks are important in determining the stock index prices and expected returns.
主题Financial Economics ; Financial Markets ; Portfolio Selection and Asset Pricing
URLhttps://www.nber.org/papers/w21557
来源智库National Bureau of Economic Research (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/579232
推荐引用方式
GB/T 7714
Ravi Jagannathan,Binying Liu. Dividend Dynamics, Learning, and Expected Stock Index Returns. 2015.
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