G2TT
来源类型Discussion paper
规范类型论文
来源IDDP9528
DP9528 Economic Cycles and Expected Stock Returns
Alessandro Beber; Michael Brandt; Maurizio Luisi
发表日期2013-06-30
出版年2013
语种英语
摘要We construct daily real-time indices capturing the public information on realized and anticipated economic activity. The one-month change in realized fundamentals predicts US stock returns across horizons with strongest results between a month and a quarter. The information in anticipated fundamentals that is orthogonal to the realized data predicts returns even more strongly particularly at longer horizons up to two quarters. Splitting the sample into times of high versus low uncertainty, as measured by the cross-sectional dispersion of economist forecasts, we show that the predictability is largely concentrated in high-uncertainty times. Finally, extending the analysis internationally, we find similar results that are curiously much stronger when US data are used as predictors than global composites or local data.
主题Financial Economics
关键词Macroeconomic uncertainty State of the economy Stock market predictability
URLhttps://cepr.org/publications/dp9528
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/538364
推荐引用方式
GB/T 7714
Alessandro Beber,Michael Brandt,Maurizio Luisi. DP9528 Economic Cycles and Expected Stock Returns. 2013.
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