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Firm complexity and post-earnings announcement drift

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  • Alexander Barinov

    (University of California Riverside)

  • Shawn Saeyeul Park

    (Yonsei University)

  • Çelim Yıldızhan

    (Koç University)

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 firm characteristics, conglomerates have relatively low institutional ownership and short interest, are covered by fewer analysts, and these analysts have less industry expertise and make larger forecast errors. Finally, we find that an increase in organizational complexity leads to larger PEAD and document that more complicated conglomerates have even greater PEAD. Our results are robust to an extensive list of alternative explanations of PEAD as well as alternative measures of firm complexity.

Suggested Citation

  • Alexander Barinov & Shawn Saeyeul Park & Çelim Yıldızhan, 2024. "Firm complexity and post-earnings announcement drift," Review of Accounting Studies, Springer, vol. 29(1), pages 527-579, March.
    • Handle: RePEc:spr:reaccs:v:29:y:2024:i:1:d:10.1007_s11142-022-09727-8
    DOI: 10.1007/s11142-022-09727-8
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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. 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.
    3. 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.
    4. 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.
    5. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. Zhang, Yuan, 2008. "Analyst responsiveness and the post-earnings-announcement drift," Journal of Accounting and Economics, Elsevier, vol. 46(1), pages 201-215, September.
    31. Berger, Philip G. & Ofek, Eli, 1995. "Diversification's effect on firm value," Journal of Financial Economics, Elsevier, vol. 37(1), pages 39-65, January.
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    Cited by:

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    2. repec:grz:wpsses:2020-04 is not listed on IDEAS
    3. 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.
    4. 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.
    5. 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.
    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

    Organizational complexity; Post-earnings-announcement drift; Conglomerates; Complicated firms; Firm complexity and post-earnings-announcement drift;
    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
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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