G2TT
来源类型Working Paper
规范类型论文
Economic linkages inferred from news stories and the predictability of stock returns
Anna Scherbina; Bernd Schlusche
发表日期2016-02-04
出版年2016
语种英语
摘要Abstract: We show that news stories contain information about economic linkages between firms and document that information diffuses slowly across linked stocks. Specifically, we identify linked stocks from co-mentions in news stories and find that linked stocks cross-predict one another’s returns in the future. Our results indicate that information can flow from smaller to larger stocks and across industries. Content analysis of common news stories reveals many types of firm linkages that have not been previously studied. We find that the cross-predictability in returns remains even after firm pairs with customer-supplier ties are removed. Results show that both limited attention and slow processing of complex information contribute to slow information diffusion. Economic linkages inferred from news stories and the predictability of stock returns
主题Economics
标签Stock market
URLhttps://www.aei.org/research-products/working-paper/economic-linkages-inferred-news-stories-predictability-stock-returns/
来源智库American Enterprise Institute (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/207340
推荐引用方式
GB/T 7714
Anna Scherbina,Bernd Schlusche. Economic linkages inferred from news stories and the predictability of stock returns. 2016.
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