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Information diffusion of upstream and downstream industry-wide earnings surprises and its implications

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  • Hsiu-Lang Chen

    (University of Illinois at Chicago)

Abstract

This study presents new evidence that industry-wide earnings surprises diffuse gradually across the supply chain at both industry and individual-firm levels. This evidence provides fundamental support for studies in the literature of gradual information diffusion, commonly using lagged returns as a proxy for information. To allow for the possibility that firms react differently to the industry-wide earnings surprises, this study measures how a stock’s returns respond to the part of its main customer or supplier industry’s lagged returns that are associated with earnings surprises. A long/short equity strategy that combines the firm’s response coefficient and the prior month’s main customer/supplier industry return is shown to be profitable. The strategy tends to select medium-sized firms across industries. Firms in the winner portfolio are more likely to have a positive earning response coefficient and to be less capital intensive and financially constrained. Winners also experience positive responses to both positive and negative shocks while losers experience negative responses to both types of shocks.

Suggested Citation

  • Hsiu-Lang Chen, 2018. "Information diffusion of upstream and downstream industry-wide earnings surprises and its implications," Review of Quantitative Finance and Accounting, Springer, vol. 51(3), pages 751-784, October.
  • Handle: RePEc:kap:rqfnac:v:51:y:2018:i:3:d:10.1007_s11156-017-0687-0
    DOI: 10.1007/s11156-017-0687-0
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    as
    1. Kewei Hou, 2007. "Industry Information Diffusion and the Lead-lag Effect in Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1113-1138.
    2. Sundaresh Ramnath, 2002. "Investor and Analyst Reactions to Earnings Announcements of Related Firms: An Empirical Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 40(5), pages 1351-1376, December.
    3. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    4. Hong, Harrison & Torous, Walter & Valkanov, Rossen, 2007. "Do industries lead stock markets?," Journal of Financial Economics, Elsevier, vol. 83(2), pages 367-396, February.
    5. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    6. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    7. Shail Pandit & Charles E. Wasley & Tzachi Zach, 2011. "Information Externalities along the Supply Chain: The Economic Determinants of Suppliers’ Stock Price Reaction to Their Customers’ Earnings Announcements," Contemporary Accounting Research, John Wiley & Sons, vol. 28(4), pages 1304-1343, December.
    8. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    9. Bernard, Victor L. & Thomas, Jacob K., 1990. "Evidence that stock prices do not fully reflect the implications of current earnings for future earnings," Journal of Accounting and Economics, Elsevier, vol. 13(4), pages 305-340, December.
    10. Valerie A. Ramey & Matthew D. Shapiro, 2001. "Displaced Capital: A Study of Aerospace Plant Closings," Journal of Political Economy, University of Chicago Press, vol. 109(5), pages 958-992, October.
    11. Lauren Cohen & Andrea Frazzini, 2008. "Economic Links and Predictable Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1977-2011, August.
    12. Soku Byoun, 2008. "How and When Do Firms Adjust Their Capital Structures toward Targets?," Journal of Finance, American Finance Association, vol. 63(6), pages 3069-3096, December.
    13. Ben S. Bernanke, 1983. "Irreversibility, Uncertainty, and Cyclical Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(1), pages 85-106.
    14. Bernard, Vl & Thomas, Jk, 1989. "Post-Earnings-Announcement Drift - Delayed Price Response Or Risk Premium," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 1-36.
    15. Lior Menzly & Oguzhan Ozbas, 2010. "Market Segmentation and Cross‐predictability of Returns," Journal of Finance, American Finance Association, vol. 65(4), pages 1555-1580, August.
    16. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    17. Mark T. Bradshaw & Richard G. Sloan, 2002. "GAAP versus The Street: An Empirical Assessment of Two Alternative Definitions of Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 40(1), pages 41-66, March.
    18. Clement, Michael B., 1999. "Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter?," Journal of Accounting and Economics, Elsevier, vol. 27(3), pages 285-303, July.
    19. Jacob, John & Lys, Thomas Z. & Neale, Margaret A., 1999. "Expertise in forecasting performance of security analysts," Journal of Accounting and Economics, Elsevier, vol. 28(1), pages 51-82, November.
    20. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    21. Freeman, Robert & Tse, Senyo, 1992. "An earnings prediction approach to examining intercompany information transfers," Journal of Accounting and Economics, Elsevier, vol. 15(4), pages 509-523, December.
    22. Andrea Gamba & Alexander Triantis, 2008. "The Value of Financial Flexibility," Journal of Finance, American Finance Association, vol. 63(5), pages 2263-2296, October.
    23. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    24. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    25. Graham, John R. & Harvey, Campbell R., 2001. "The theory and practice of corporate finance: evidence from the field," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 187-243, May.
    26. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    27. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    28. Joshua Livnat & Richard R. Mendenhall, 2006. "Comparing the Post–Earnings Announcement Drift for Surprises Calculated from Analyst and Time Series Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 177-205, March.
    29. Bartelsman, Eric J & Caballero, Ricardo J & Lyons, Richard K, 1994. "Customer- and Supplier-Driven Externalities," American Economic Review, American Economic Association, vol. 84(4), pages 1075-1084, September.
    30. Petersen, Bruce & Strongin, Steven, 1996. "Why Are Some Industries More Cyclical Than Others?," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 189-198, April.
    31. Ivan E. Brick & Rose C. Liao, 2017. "The joint determinants of cash holdings and debt maturity: the case for financial constraints," Review of Quantitative Finance and Accounting, Springer, vol. 48(3), pages 597-641, April.
    32. Paul J. Irvine & Jeffrey Pontiff, 2009. "Idiosyncratic Return Volatility, Cash Flows, and Product Market Competition," Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 1149-1177, March.
    33. Richard R. Mendenhall, 2004. "Arbitrage Risk and Post-Earnings-Announcement Drift," The Journal of Business, University of Chicago Press, vol. 77(4), pages 875-894, October.
    34. Paul J. Irvine & Jeffrey Pontiff, 2009. "Idiosyncratic Return Volatility, Cash Flows, and Product Market Competition," Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 1149-1177.
    35. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
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    Cited by:

    1. Yu, Miao & Hu, Xiaolu & Zhong, Angel, 2023. "Trade links and return predictability: The Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).

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    More about this item

    Keywords

    Industry-wide earnings surprises; Information diffusion; Supply chain;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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