Abstract

http://ssrn.com/abstract=2196196
 
 

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Inter-Industry Network Structure and the Cross- Predictability of Earnings and Stock Returns


Daniel Aobdia


Northwestern University - Kellogg School of Management

Judson Caskey


University of Texas at Austin - Red McCombs School of Business

N. Bugra Ozel


University of California, Los Angeles (UCLA) - Anderson School of Management

January 9, 2014

Review of Accounting Studies, Vol. 19, No. 3, pp. 1191-1224, 2014

Abstract:     
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. Analogously, we find that the accounting performance of central industries associate more strongly with macroeconomic measures than does the accounting performance of non-central industries. 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.

Keywords: Information transfer, inter-industry networks, aggregate risk, earnings, stock returns

JEL Classification: D57, G14, M41

Accepted Paper Series


Not Available For Download

Date posted: January 17, 2013 ; Last revised: August 22, 2014

Suggested Citation

Aobdia, Daniel and Caskey, Judson and Ozel, N. Bugra, Inter-Industry Network Structure and the Cross- Predictability of Earnings and Stock Returns (January 9, 2014). Review of Accounting Studies, Vol. 19, No. 3, pp. 1191-1224, 2014. Available at SSRN: http://ssrn.com/abstract=2196196 or http://dx.doi.org/10.2139/ssrn.2196196

Contact Information

Daniel Aobdia
Northwestern University - Kellogg School of Management ( email )
2001 Sheridan Road
Evanston, IL 60208
United States
Judson Caskey (Contact Author)
University of Texas at Austin - Red McCombs School of Business ( email )
1 University Station, B6400
Austin, TX 78712
United States
(512)551-2796 (Phone)
N. Bugra Ozel
University of California, Los Angeles (UCLA) - Anderson School of Management ( email )
D410 Anderson Complex
Los Angeles, CA 90095-1481
United States
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