IDEAS home Printed from https://ideas.repec.org/a/eee/jbfina/v60y2015icp153-167.html
   My bibliography  Save this article

On the efficiency of intra-industry information transfers: The dilution of the overreaction anomaly

Author

Listed:
  • Chung, Dennis Y.
  • Hrazdil, Karel
  • Trottier, Kim

Abstract

We revisit the stock market anomaly documented by Thomas and Zhang (2008) and show that the apparent mispricing of information transfers has decayed over time, as the US markets experienced rapid improvements in the efficiency of the underlying price formation processes. Utilizing recent advancements in market microstructure research to estimate firm-specific proxies for market efficiency, we demonstrate that the existence of the overreaction anomaly (where stock prices of late announcers in response to the earnings reported by early announcers in the same industry are negatively related to subsequent price responses of late announcers to their own earnings reports) is specific to an earlier sample period and results from the inefficient incorporation of information into prices, largely attributable to an environment with high barriers to arbitrage. Our results indicate that the pricing efficiency of intra-industry information transfers has increased in the recent years of increased liquidity and markedly higher trading activity.

Suggested Citation

  • Chung, Dennis Y. & Hrazdil, Karel & Trottier, Kim, 2015. "On the efficiency of intra-industry information transfers: The dilution of the overreaction anomaly," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 153-167.
    • Handle: RePEc:eee:jbfina:v:60:y:2015:i:c:p:153-167
    DOI: 10.1016/j.jbankfin.2015.08.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378426615002241
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbankfin.2015.08.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kewei Hou, 2007. "Industry Information Diffusion and the Lead-lag Effect in Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1113-1138.
    2. Hrazdil, Karel & Trottier, Kim & Zhang, Ray, 2013. "A comparison of industry classification schemes: A large sample study," Economics Letters, Elsevier, vol. 118(1), pages 77-80.
    3. Thompson, Samuel B., 2011. "Simple formulas for standard errors that cluster by both firm and time," Journal of Financial Economics, Elsevier, vol. 99(1), pages 1-10, January.
    4. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2011. "Recent trends in trading activity and market quality," Journal of Financial Economics, Elsevier, vol. 101(2), pages 243-263, August.
    5. Rubin, Amir, 2007. "Ownership level, ownership concentration and liquidity," Journal of Financial Markets, Elsevier, vol. 10(3), pages 219-248, August.
    6. Jacob Thomas & Frank Zhang, 2008. "Overreaction to Intra‐industry Information Transfers?," Journal of Accounting Research, Wiley Blackwell, vol. 46(4), pages 909-940, September.
    7. Asquith, Paul & Oman, Rebecca & Safaya, Christopher, 2010. "Short sales and trade classification algorithms," Journal of Financial Markets, Elsevier, vol. 13(1), pages 157-173, February.
    8. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    9. Finucane, Thomas J., 2000. "A Direct Test of Methods for Inferring Trade Direction from Intra-Day Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(4), pages 553-576, December.
    10. Heflin, Frank & Shaw, Kenneth W., 2000. "Blockholder Ownership and Market Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(4), pages 621-633, December.
    11. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    12. James A. Bennett, 2003. "Greener Pastures and the Impact of Dynamic Institutional Preferences," The Review of Financial Studies, Society for Financial Studies, vol. 16(4), pages 1203-1238.
    13. Chordia, Tarun & Subrahmanyam, Avanidhar, 2004. "Order imbalance and individual stock returns: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 72(3), pages 485-518, June.
    14. Gary L. Caton & Jeremy Goh & Ninon Kohers, 2003. "Dividend Omissions and Intraindustry Information Transfers," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 26(1), pages 51-64, March.
    15. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    16. Jerry C.Y. Han & John J. Wild, 1997. "Timeliness of Reporting and Earnings Information Transfers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(3), pages 527-540.
    17. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    18. Han, Jcy & Wild, Jj, 1990. "Unexpected Earnings And Intraindustry Information Transfers - Further Evidence," Journal of Accounting Research, Wiley Blackwell, vol. 28(1), pages 211-219.
    19. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
    20. 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.
    21. Carrion, Allen, 2013. "Very fast money: High-frequency trading on the NASDAQ," Journal of Financial Markets, Elsevier, vol. 16(4), pages 680-711.
    22. Chordia, Tarun & Subrahmanyam, Avanidhar & Tong, Qing, 2014. "Have capital market anomalies attenuated in the recent era of high liquidity and trading activity?," Journal of Accounting and Economics, Elsevier, vol. 58(1), pages 41-58.
    23. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2005. "Evidence on the speed of convergence to market efficiency," Journal of Financial Economics, Elsevier, vol. 76(2), pages 271-292, May.
    24. Davidson, Russell & MacKinnon, James G., 2006. "The power of bootstrap and asymptotic tests," Journal of Econometrics, Elsevier, vol. 133(2), pages 421-441, August.
    25. Ayers, Benjamin & Freeman, Robert N., 1997. "Market assessment of industry and firm earnings information," Journal of Accounting and Economics, Elsevier, vol. 24(2), pages 205-218, December.
    26. Jerry C.Y. Han & John J. Wild, 1997. "Timeliness of Reporting and Earnings Information Transfers," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(3), pages 527-540, April.
    27. Chung, Dennis & Hrazdil, Karel, 2010. "Liquidity and market efficiency: A large sample study," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2346-2357, October.
    28. Sanjeev Bhojraj & Charles M. C. Lee & Derek K. Oler, 2003. "What's My Line? A Comparison of Industry Classification Schemes for Capital Market Research," Journal of Accounting Research, Wiley Blackwell, vol. 41(5), pages 745-774, December.
    29. Ellis, Katrina & Michaely, Roni & O'Hara, Maureen, 2000. "The Accuracy of Trade Classification Rules: Evidence from Nasdaq," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(4), pages 529-551, December.
    30. Frost, Carol A, 1995. "Intraindustry Information Transfer: An Analysis of Research Methods and Additional Evidence," Review of Quantitative Finance and Accounting, Springer, vol. 5(2), pages 111-126, June.
    31. Foster, George, 1981. "Intra-industry information transfers associated with earnings releases," Journal of Accounting and Economics, Elsevier, vol. 3(3), pages 201-232, December.
    32. Karel Hrazdil & Kim Trottier & Ray Zhang, 2014. "An intra- and inter-industry evaluation of three classification schemes common in capital market research," Applied Economics, Taylor & Francis Journals, vol. 46(17), pages 2021-2033, June.
    33. Aktas, Nihat & de Bodt, Eric & Van Oppens, Hervé, 2008. "Legal insider trading and market efficiency," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1379-1392, July.
    34. 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.
    35. 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.
    36. Visaltanachoti, Nuttawat & Yang, Ting, 2010. "Speed of convergence to market efficiency for NYSE-listed foreign stocks," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 594-605, March.
    37. Mark Lang & Russell Lundholm, 1996. "The Relation Between Security Returns, Firm Earnings, and Industry Earnings," Contemporary Accounting Research, John Wiley & Sons, vol. 13(2), pages 607-629, September.
    38. Firth, Michael, 1996. "Dividend Changes, Abnormal Returns, and Intra-lndustry Firm Valuations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(2), pages 189-211, June.
    39. Roger C. Graham & Raymond D. King, 1996. "Industry Information Transfers: The Effect of Information Environment," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 23(9-10), pages 1289-1306, December.
    40. Han, Jerry C. Y. & Wild, John J. & Ramesh, K., 1989. "Managers' earnings forecasts and intra-industry information transfers," Journal of Accounting and Economics, Elsevier, vol. 11(1), pages 3-33, February.
    41. Chung, Dennis Y. & Hrazdil, Karel, 2010. "Liquidity and market efficiency: Analysis of NASDAQ firms," Global Finance Journal, Elsevier, vol. 21(3), pages 262-274.
    42. Elgers, Pieter T. & Porter, Susan L. & Emily Xu, Le, 2008. "The timing of industry and firm earnings information in security prices: A re-evaluation," Journal of Accounting and Economics, Elsevier, vol. 45(1), pages 78-93, March.
    43. Ekkehart Boehmer & Eric K. Kelley, 2009. "Institutional Investors and the Informational Efficiency of Prices," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3563-3594, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chung, Dennis Y. & Hrazdil, Karel & Novak, Jiri & Suwanyangyuan, Nattavut, 2019. "Does the large amount of information in corporate disclosures hinder or enhance price discovery in the capital market?," Journal of Contemporary Accounting and Economics, Elsevier, vol. 15(1), pages 36-52.
    2. Liu, Beibei & Tan, Keqi & Wong, Sonia M.L. & Yip, Rita W.Y., 2022. "Intra-industry information transfer in emerging markets: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 140(C).
    3. Bergsma, Kelley & Tayal, Jitendra, 2020. "Quarterly earnings announcements and intra-industry information transfer from the Pacific to the Atlantic," International Review of Financial Analysis, Elsevier, vol. 70(C).
    4. Zhang, Jinhua & Mao, Rui & Wang, Jieyu & Xing, Mengying, 2021. "The way back home: Trading behaviours of foreign institutional investors in China amid the COVID-19 pandemic," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cox, Raymond A.K. & Dayanandan, Ajit & Donker, Han, 2016. "The Ricochet Effect of Bad News," The International Journal of Accounting, Elsevier, vol. 51(3), pages 385-401.
    2. Mudalige, Priyantha & Duong, Huu Nhan & Kalev, Petko S. & Gupta, Kartick, 2020. "Who trades in competing firms around earnings announcements," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).
    3. Chung, Dennis & Hrazdil, Karel, 2010. "Liquidity and market efficiency: A large sample study," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2346-2357, October.
    4. Francois Brochet & Kalin Kolev & Alina Lerman, 2018. "Information transfer and conference calls," Review of Accounting Studies, Springer, vol. 23(3), pages 907-957, September.
    5. Liu, Beibei & Tan, Keqi & Wong, Sonia M.L. & Yip, Rita W.Y., 2022. "Intra-industry information transfer in emerging markets: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 140(C).
    6. Chung, Dennis Y. & Hrazdil, Karel, 2012. "Speed of convergence to market efficiency: The role of ECNs," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 702-720.
    7. Desir, Rosemond & Seavey, Scott E. & Thevenot, Maya, 2024. "Information transfer of CEO turnover: Evidence from firm-CEO mismatch," Journal of Corporate Finance, Elsevier, vol. 84(C).
    8. John Eshleman & Peng Guo, 2014. "The market’s use of supplier earnings information to value customers," Review of Quantitative Finance and Accounting, Springer, vol. 43(2), pages 405-422, August.
    9. Chung, Dennis Y. & Hrazdil, Karel & Novak, Jiri & Suwanyangyuan, Nattavut, 2019. "Does the large amount of information in corporate disclosures hinder or enhance price discovery in the capital market?," Journal of Contemporary Accounting and Economics, Elsevier, vol. 15(1), pages 36-52.
    10. Yingyi Hu, 2019. "Short-horizon market efficiency, order imbalance, and speculative trading: evidence from the Chinese stock market," Annals of Operations Research, Springer, vol. 281(1), pages 253-274, October.
    11. Iuliia Brushko & Stephen P. Ferris & Jan Hanousek & Jiri Tresl, 2020. "Intra-Industry Transfer of Information Inferred From Trading Volume," CERGE-EI Working Papers wp663, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    12. Bergsma, Kelley & Tayal, Jitendra, 2020. "Quarterly earnings announcements and intra-industry information transfer from the Pacific to the Atlantic," International Review of Financial Analysis, Elsevier, vol. 70(C).
    13. Jonathan Ross & David Ziebart & Anthony Meder, 2019. "A new measure of firm-group accounting closeness," Review of Quantitative Finance and Accounting, Springer, vol. 52(4), pages 1137-1161, May.
    14. Richard Cazier & Rosemond Desir & Ray J. Pfeiffer & Lumina Albert, 2020. "Intra-industry information transfer effects of leading firms’ earnings narratives," Review of Quantitative Finance and Accounting, Springer, vol. 54(1), pages 29-49, January.
    15. Hur, Jungshik & Singh, Vivek, 2019. "How do disposition effect and anchoring bias interact to impact momentum in stock returns?," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 238-256.
    16. Jacob Thomas & Frank Zhang, 2008. "Overreaction to Intra‐industry Information Transfers?," Journal of Accounting Research, Wiley Blackwell, vol. 46(4), pages 909-940, September.
    17. Qiu, Jiayue & Wu, Hai & Zhang, Lijuan, 2021. "In name only: Information spillovers among Chinese firms with similar stock names during earnings announcements," Journal of Corporate Finance, Elsevier, vol. 69(C).
    18. Rebecca N. Hann & Heedong Kim & Yue Zheng, 2019. "Intra-industry information transfers: evidence from changes in implied volatility around earnings announcements," Review of Accounting Studies, Springer, vol. 24(3), pages 927-971, September.
    19. Carrion, Allen, 2013. "Very fast money: High-frequency trading on the NASDAQ," Journal of Financial Markets, Elsevier, vol. 16(4), pages 680-711.
    20. Clare Wang, 2014. "Accounting Standards Harmonization and Financial Statement Comparability: Evidence from Transnational Information Transfer," Journal of Accounting Research, Wiley Blackwell, vol. 52(4), pages 955-992, September.

    More about this item

    Keywords

    Information transfers; Market efficiency; Overreaction anomaly;
    All these keywords.

    JEL classification:

    • 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbfina:v:60:y:2015:i:c:p:153-167. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbf .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.