IDEAS home Printed from https://ideas.repec.org/a/eee/empfin/v29y2014icp331-342.html
   My bibliography  Save this article

The dispersion effect in international stock returns

Author

Listed:
  • Leippold, Markus
  • Lohre, Harald

Abstract

We find that stocks exhibiting high dispersion in analysts' earnings forecasts not only underperform in the U.S. but also in some European countries. Investigating the abnormal returns generated by the dispersion strategy around the world for the 1990–2008 sample period, we observe that the returns of the strategy are uneven, with large abnormal returns realized during the mid-to-late 1990s and the 2000–2003 period. In particular, we document that the dispersion effect is most profitable in a very narrow time frame around the burst of the technology bubble. As a consequence, the dispersion hedge strategy would have been rather difficult to implement, especially given that the highest mispricing obtains for stocks characterized by high arbitrage costs.

Suggested Citation

  • Leippold, Markus & Lohre, Harald, 2014. "The dispersion effect in international stock returns," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 331-342.
  • Handle: RePEc:eee:empfin:v:29:y:2014:i:c:p:331-342
    DOI: 10.1016/j.jempfin.2014.09.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927539814000826
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jempfin.2014.09.001?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. 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.
    2. 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.
    3. Anna Scherbina, 2008. "Suppressed Negative Information and Future Underperformance," Review of Finance, European Finance Association, vol. 12(3), pages 533-565.
    4. Peter S. Schmidt & Andreas Schrimpf & Urs von Arx & Alexander F. Wagner & Andreas Ziegler, 2011. "On the Construction of Common Size, Value and Momentum Factors in International Stock Markets: A Guide with Applications," CER-ETH Economics working paper series 11/141, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    5. Boehme, Rodney D. & Danielsen, Bartley R. & Sorescu, Sorin M., 2006. "Short-Sale Constraints, Differences of Opinion, and Overvaluation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(2), pages 455-487, June.
    6. Chan, Louis K C & Jegadeesh, Narasimhan & Lakonishok, Josef, 1996. "Momentum Strategies," Journal of Finance, American Finance Association, vol. 51(5), pages 1681-1713, December.
    7. Ronnie Sadka & Anna Scherbina, 2007. "Analyst Disagreement, Mispricing, and Liquidity," Journal of Finance, American Finance Association, vol. 62(5), pages 2367-2403, October.
    8. Markus Leippold & Harald Lohre, 2012. "International price and earnings momentum," The European Journal of Finance, Taylor & Francis Journals, vol. 18(6), pages 535-573, July.
    9. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    10. Berkman, Henk & Dimitrov, Valentin & Jain, Prem C. & Koch, Paul D. & Tice, Sheri, 2009. "Sell on the news: Differences of opinion, short-sales constraints, and returns around earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(3), pages 376-399, June.
    11. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    12. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    13. Avramov, Doron & Chordia, Tarun & Jostova, Gergana & Philipov, Alexander, 2009. "Dispersion in analysts' earnings forecasts and credit rating," Journal of Financial Economics, Elsevier, vol. 91(1), pages 83-101, January.
    14. Liu, Weimin, 2006. "A liquidity-augmented capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 82(3), pages 631-671, December.
    15. Ozgur S. Ince & R. Burt Porter, 2006. "Individual Equity Return Data From Thomson Datastream: Handle With Care!," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 29(4), pages 463-479, December.
    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. Markus Leippold & Roger Rueegg, 2018. "The mixed vs the integrated approach to style investing: Much ado about nothing?," European Financial Management, European Financial Management Association, vol. 24(5), pages 829-855, November.
    2. Shuang Liu & Juan Yao & Stephen Satchell, 2020. "Analyst Forecast Dispersion and Market Return Predictability: Does Conditional Equity Premium Play a Role?," JRFM, MDPI, vol. 13(5), pages 1-21, May.
    3. Min, Byoung-Kyu & Roh, Tai-Yong, 2020. "An investment-based explanation for the dispersion anomaly," Economics Letters, Elsevier, vol. 186(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. Turan G. Bali & Andriy Bodnaruk & Anna Scherbina & Yi Tang, 2018. "Unusual News Flow and the Cross Section of Stock Returns," Management Science, INFORMS, vol. 64(9), pages 4137-4155, September.
    2. Ling Cen & K. C. John Wei & Liyan Yang, 2017. "Disagreement, Underreaction, and Stock Returns," Management Science, INFORMS, vol. 63(4), pages 1214-1231, April.
    3. Andreou, Panayiotis C. & Kagkadis, Anastasios & Philip, Dennis & Tuneshev, Ruslan, 2018. "Differences in options investors’ expectations and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 315-336.
    4. Boehme, Rodney & Çolak, Gönül, 2012. "Primary market characteristics and secondary market frictions of stocks," Journal of Financial Markets, Elsevier, vol. 15(2), pages 286-327.
    5. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
    6. Qian, Xiaolin, 2014. "Small investor sentiment, differences of opinion and stock overvaluation," Journal of Financial Markets, Elsevier, vol. 19(C), pages 219-246.
    7. Huang, Alan Guoming, 2009. "The cross section of cashflow volatility and expected stock returns," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 409-429, June.
    8. Jorida Papakroni, 2018. "The dispersion anomaly and analyst recommendations," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 861-896, April.
    9. Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
    10. Kang, Wenjin & Li, Nan & Zhang, Huiping, 2019. "Information uncertainty and the pricing of liquidity," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 77-96.
    11. Peng, Emma Y. & Yan, An & Yan, Meng, 2016. "Accounting accruals, heterogeneous investor beliefs, and stock returns," Journal of Financial Stability, Elsevier, vol. 24(C), pages 88-103.
    12. Hollstein, Fabian & Prokopczuk, Marcel & Wese Simen, Chardin, 2020. "Beta uncertainty," Journal of Banking & Finance, Elsevier, vol. 116(C).
    13. Kim, Soonho & Na, Haejung, 2020. "Earnings information, arbitrage constraints, and the forecast dispersion anomaly," Finance Research Letters, Elsevier, vol. 35(C).
    14. Muñoz, Francisco, 2013. "Liquidity and firm investment: Evidence for Latin America," Journal of Empirical Finance, Elsevier, vol. 20(C), pages 18-29.
    15. Lin, Chaonan & Ko, Kuan-Cheng & Lin, Lin & Yang, Nien-Tzu, 2017. "Price limits and the value premium in the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 26-45.
    16. Berkman, Henk & Dimitrov, Valentin & Jain, Prem C. & Koch, Paul D. & Tice, Sheri, 2009. "Sell on the news: Differences of opinion, short-sales constraints, and returns around earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(3), pages 376-399, June.
    17. Autore, Don M. & Billingsley, Randall S. & Kovacs, Tunde, 2011. "The 2008 short sale ban: Liquidity, dispersion of opinion, and the cross-section of returns of US financial stocks," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2252-2266, September.
    18. Chen, Tao, 2020. "Does news affect disagreement in global markets?," Journal of Business Research, Elsevier, vol. 109(C), pages 174-183.
    19. Akbas, Ferhat & Boehmer, Ekkehart & Jiang, Chao & Koch, Paul D., 2022. "Overnight returns, daytime reversals, and future stock returns," Journal of Financial Economics, Elsevier, vol. 145(3), pages 850-875.
    20. Al-Nasseri, Alya & Menla Ali, Faek, 2018. "What does investors' online divergence of opinion tell us about stock returns and trading volume?," Journal of Business Research, Elsevier, vol. 86(C), pages 166-178.

    More about this item

    Keywords

    International dispersion effect; Information uncertainty; Liquidity;
    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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:empfin:v:29:y:2014:i:c:p:331-342. 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/jempfin .

    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.