Inter-industry network structure and the cross-predictability of earnings and stock returns

被引:87
作者
Aobdia, Daniel [1 ]
Caskey, Judson [2 ]
Ozel, N. Bugra [3 ]
机构
[1] Northwestern Univ, Kellogg Sch Management, Evanston, IL USA
[2] Univ Texas Austin, McCombs Sch Business, Austin, TX 78712 USA
[3] Univ Calif Los Angeles, Anderson Sch Management, Los Angeles, CA USA
关键词
Information transfer; Inter-industry networks; Aggregate risk; Earnings; Stock returns; AGGREGATE MARKET REACTION; INFORMATION-CONTENT; INDUSTRIES; GUIDANCE; ANALYSTS; ORIGINS; FIRM;
D O I
10.1007/s11142-014-9286-7
中图分类号
F8 [财政、金融];
学科分类号
020219 [财政学(含:税收学)];
摘要
We examine how the patterns of inter-industry trade flows impact the transfer of information and economic shocks. We provide evidence that the intensity of transfers depends on industries' positions within the economy. In particular, some industries occupy central positions in the flow of trade, serving as hubs. Consistent with a diversification effect, we find that these industries' returns depend relatively more on aggregate risks than do returns of noncentral industries. Analogously, we find that the accounting performance of central industries associates more strongly with macroeconomic measures than does the accounting performance of noncentral industries. Comparing central industries to noncentral ones, we find that the stock returns and accounting performance of central industries better predict the performance of industries linked to them. This suggests that shocks to central industries propagate more strongly than shocks to other industries. Our results highlight how industries' positions within the economy affect the transfer of information and economic shocks.
引用
收藏
页码:1191 / 1224
页数:34
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