Inter-Industry Network Structure and the Cross- Predictability of Earnings and Stock Returns
Northwestern University - Kellogg School of Management
University of Texas at Austin - Red McCombs School of Business
N. Bugra Ozel
University of California, Los Angeles (UCLA) - Anderson School of Management
October 17, 2013
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 non-central industries. Additionally, earnings response coefficients of firms in central industries are lower than those of other firms, consistent with alternative sources of macroeconomic news preempting some of the information content of earnings announcements. Comparing central industries to non-central industries, 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.
Number of Pages in PDF File: 55
Keywords: Information transfer, inter-industry networks, aggregate risk, earnings, stock returns
JEL Classification: D57, G14, M41working papers series
Date posted: January 17, 2013 ; Last revised: October 24, 2013
© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo7 in 0.375 seconds