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Firm Complexity and Post-Earnings-Announcement Drift

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  • Barinov, Alexander
  • Park, Shawn Saeyeul
  • Yildizhan, Celim

Abstract

We show that the post earnings announcement drift (PEAD) is stronger for conglomerates than single-segment firms. Conglomerates, on average, are larger than single segment firms, so it is unlikely that limits-to-arbitrage drive the difference in PEAD. Rather, we hypothesize that market participants find it more costly and difficult to understand firm-specific earnings information regarding conglomerates as they have more complicated business models than single-segment firms. This in turn slows information processing about them. In support of our hypothesis, we find that, compared to single-segment firms with similar size, conglomerates have relatively low institutional ownership and short interest, are covered by fewer analysts, these analysts have less industry expertise and also make larger forecast errors. Finally, we find that an increase in firm complexity leads to larger PEAD and document that more complicated conglomerates have greater PEADs. Our results are robust to a long list of alternative explanations of PEAD as well as alternative measures of firm complexity.

Suggested Citation

  • Barinov, Alexander & Park, Shawn Saeyeul & Yildizhan, Celim, 2016. "Firm Complexity and Post-Earnings-Announcement Drift," MPRA Paper 91421, University Library of Munich, Germany, revised 14 Dec 2018.
    • Handle: RePEc:pra:mprapa:91421
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    1. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    2. Changling Chen, 2013. "Time†Varying Earnings Persistence and the Delayed Stock Return Reaction to Earnings Announcements," Contemporary Accounting Research, John Wiley & Sons, vol. 30(2), pages 549-578, June.
    3. Paul A. Gompers & Andrew Metrick, 2001. "Institutional Investors and Equity Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 229-259.
    4. Daniel, Kent, et al, 1997. "Measuring Mutual Fund Performance with Characteristic-Based Benchmarks," Journal of Finance, American Finance Association, vol. 52(3), pages 1035-1058, July.
    5. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    6. Brian J. Bushee & Ian D. Gow & Daniel J. Taylor, 2018. "Linguistic Complexity in Firm Disclosures: Obfuscation or Information?," Journal of Accounting Research, Wiley Blackwell, vol. 56(1), pages 85-121, March.
    7. Lesmond, David A & Ogden, Joseph P & Trzcinka, Charles A, 1999. "A New Estimate of Transaction Costs," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1113-1141.
    8. Sadka, Ronnie, 2006. "Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk," Journal of Financial Economics, Elsevier, vol. 80(2), pages 309-349, May.
    9. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    10. Yen†Jung Lee, 2012. "The Effect of Quarterly Report Readability on Information Efficiency of Stock Prices," Contemporary Accounting Research, John Wiley & Sons, vol. 29(4), pages 1137-1170, December.
    11. 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.
    12. 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.
    13. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    14. 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.
    15. Zhang, Yuan, 2008. "Analyst responsiveness and the post-earnings-announcement drift," Journal of Accounting and Economics, Elsevier, vol. 46(1), pages 201-215, September.
    16. David Hirshleifer & Sonya Seongyeon Lim & Siew Hong Teoh, 2009. "Driven to Distraction: Extraneous Events and Underreaction to Earnings News," Journal of Finance, American Finance Association, vol. 64(5), pages 2289-2325, October.
    17. Berger, Philip G. & Ofek, Eli, 1995. "Diversification's effect on firm value," Journal of Financial Economics, Elsevier, vol. 37(1), pages 39-65, January.
    18. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    19. Lesmond, David A. & Schill, Michael J. & Zhou, Chunsheng, 2004. "The illusory nature of momentum profits," Journal of Financial Economics, Elsevier, vol. 71(2), pages 349-380, February.
    20. Chemmanur, Thomas J. & Liu, Mark H., 2011. "Institutional trading, information production, and the choice between spin-offs, carve-outs, and tracking stock issues," Journal of Corporate Finance, Elsevier, vol. 17(1), pages 62-82, February.
    21. Barinov, Alexander & Wu, Juan (Julie), 2014. "High short interest effect and aggregate volatility risk," Journal of Financial Markets, Elsevier, vol. 21(C), pages 98-122.
    22. 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.
    23. Stuart C. Gilson & Paul M. Healy & Christopher F. Noe & Krishna G. Palepu, 2001. "Analyst Specialization and Conglomerate Stock Breakups," Journal of Accounting Research, Wiley Blackwell, vol. 39(3), pages 565-582, December.
    24. Charles M.C. Lee & Bhaskaran Swaminathan, 2000. "Price Momentum and Trading Volume," Journal of Finance, American Finance Association, vol. 55(5), pages 2017-2069, October.
    25. Lang, Larry H P & Stulz, Rene M, 1994. "Tobin's q, Corporate Diversification, and Firm Performance," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1248-1280, December.
    26. Shane A. Corwin & Paul Schultz, 2012. "A Simple Way to Estimate Bid‐Ask Spreads from Daily High and Low Prices," Journal of Finance, American Finance Association, vol. 67(2), pages 719-760, April.
    27. Joel Hasbrouck, 2009. "Trading Costs and Returns for U.S. Equities: Estimating Effective Costs from Daily Data," Journal of Finance, American Finance Association, vol. 64(3), pages 1445-1477, June.
    28. Jeffrey Ng & Tjomme O. Rusticus & Rodrigo S. Verdi, 2008. "Implications of Transaction Costs for the Post–Earnings Announcement Drift," Journal of Accounting Research, Wiley Blackwell, vol. 46(3), pages 661-696, June.
    29. Tarun Chordia & Sahn-Wook Huh & Avanidhar Subrahmanyam, 2007. "The Cross-Section of Expected Trading Activity," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 709-740.
    30. Sean Shun Cao & Ganapathi S. Narayanamoorthy, 2012. "Earnings Volatility, Post–Earnings Announcement Drift, and Trading Frictions," Journal of Accounting Research, Wiley Blackwell, vol. 50(1), pages 41-74, March.
    31. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
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    Cited by:

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    2. Cathy Xuying Cao & Chongyang Chen & Ekaterina E. Emm & Bo Han, 2022. "Corporate diversification and seasoned equity offering performance," Review of Quantitative Finance and Accounting, Springer, vol. 58(2), pages 581-614, February.
    3. Narongdech Thakerngkiat & Hung T. Nguyen & Nhut H. Nguyen & Nuttawat Visaltanachoti, 2021. "Do accounting information and market environment matter for cross‐asset predictability?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4389-4434, September.
    4. Sharad Asthana & Rachana Kalelkar, 2020. "Impact of economic policy uncertainty on disclosure and pricing of earnings news," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1481-1512, November.
    5. repec:grz:wpsses:2020-04 is not listed on IDEAS
    6. Jaewon Choi & Linh Thompson & Jared Williams, 2019. "Asymmetric Learning from Prices and Post‐Earnings‐Announcement Drift," Contemporary Accounting Research, John Wiley & Sons, vol. 36(3), pages 1724-1750, September.

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    More about this item

    Keywords

    innate business complexity; post-earnings-announcement drift; conglomerates; complicated firms;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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