IDEAS home Printed from https://ideas.repec.org/a/pal/assmgt/v19y2018i7d10.1057_s41260-018-0095-6.html
   My bibliography  Save this article

Holiday effect on stock price reactions to analyst recommendation revisions

Author

Listed:
  • Andrey Kudryavtsev

    (The Max Stern Yezreel Valley Academic College)

Abstract

The study explores the holiday effect on stock price reactions to analyst recommendation revisions and on post-recommendation price drifts. Based on the Mood Maintenance Hypothesis and on the literature documenting lower stock trading activity before holidays, I hypothesize that if a recommendation revision is issued before a holiday, then investors striving to maintain their positive pre-holiday mood, may be less willing to make influential trading decisions, and therefore, may underreact to the recommendation revision, leading to stronger post-recommendation price drift. Analyzing a large sample of analyst recommendation revisions, I document that, compared to “regular” recommendation revisions, pre-holiday recommendation revisions are followed by: (i) significantly weaker event-day stock price reactions, and (ii) significantly more pronounced post-event price drifts, whose magnitude increases over longer post-event periods (up to 6 months). Both effects are more pronounced for small and more volatile stocks and remain robust after accounting for additional company- (size, market model beta, historical volatility) and event-specific (number of recommendation categories changed in the revision, analyst experience) factors.

Suggested Citation

  • Andrey Kudryavtsev, 2018. "Holiday effect on stock price reactions to analyst recommendation revisions," Journal of Asset Management, Palgrave Macmillan, vol. 19(7), pages 507-521, December.
    • Handle: RePEc:pal:assmgt:v:19:y:2018:i:7:d:10.1057_s41260-018-0095-6
    DOI: 10.1057/s41260-018-0095-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41260-018-0095-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41260-018-0095-6?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. Womack, Kent L, 1996. "Do Brokerage Analysts' Recommendations Have Investment Value?," Journal of Finance, American Finance Association, vol. 51(1), pages 137-167, March.
    3. Green, T. Clifton, 2006. "The Value of Client Access to Analyst Recommendations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(1), pages 1-24, March.
    4. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    5. Beyer, Anne & Cohen, Daniel A. & Lys, Thomas Z. & Walther, Beverly R., 2010. "The financial reporting environment: Review of the recent literature," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 296-343, December.
    6. Meneu, Vicente & Pardo, Angel, 2004. "Pre-holiday effect, large trades and small investor behaviour," Journal of Empirical Finance, Elsevier, vol. 11(2), pages 231-246, March.
    7. Roger K. Loh & René M. Stulz, 2011. "When Are Analyst Recommendation Changes Influential?," The Review of Financial Studies, Society for Financial Studies, vol. 24(2), pages 593-627.
    8. Sorescu, Sorin & Subrahmanyam, Avanidhar, 2006. "The Cross Section of Analyst Recommendations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(1), pages 139-168, March.
    9. Nagel, Stefan, 2005. "Short sales, institutional investors and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 78(2), pages 277-309, November.
    10. Paul Brockman & David Michayluk, 1998. "The persistent holiday effect: additional evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 5(4), pages 205-209.
    11. Agrawal, Anup & Tandon, Kishore, 1994. "Anomalies or illusions? Evidence from stock markets in eighteen countries," Journal of International Money and Finance, Elsevier, vol. 13(1), pages 83-106, February.
    12. Narasimhan Jegadeesh & Woojin Kim, 2010. "Do Analysts Herd? An Analysis of Recommendations and Market Reactions," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 901-937, February.
    13. repec:uts:ppaper:y:1997:1 is not listed on IDEAS
    14. Peng, Lin & Xiong, Wei, 2006. "Investor attention, overconfidence and category learning," Journal of Financial Economics, Elsevier, vol. 80(3), pages 563-602, June.
    15. Frankel, Richard & Kothari, S.P. & Weber, Joseph, 2006. "Determinants of the informativeness of analyst research," Journal of Accounting and Economics, Elsevier, vol. 41(1-2), pages 29-54, April.
    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. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    18. David Hirshleifer & Sonya S. Lim & Siew Hong Teoh, 2011. "Limited Investor Attention and Stock Market Misreactions to Accounting Information," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 1(1), pages 35-73.
    19. Glenn N. Pettengill, 1989. "Holiday Closings And Security Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 12(1), pages 57-67, March.
    20. Keim, Donald B., 1989. "Trading patterns, bid-ask spreads, and estimated security returns : The case of common stocks at calendar turning points," Journal of Financial Economics, Elsevier, vol. 25(1), pages 75-97, November.
    21. Healy, Paul M. & Palepu, Krishna G., 2001. "Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 405-440, September.
    22. George Marrett & Andrew Worthington, 2009. "An empirical note on the holiday effect in the Australian stock market, 1996-2006," Applied Economics Letters, Taylor & Francis Journals, vol. 16(17), pages 1769-1772.
    23. Cadsby, Charles Bram & Ratner, Mitchell, 1992. "Turn-of-month and pre-holiday effects on stock returns: Some international evidence," Journal of Banking & Finance, Elsevier, vol. 16(3), pages 497-509, June.
    24. Elton, Edwin J & Gruber, Martin J & Grossman, Seth, 1986. "Discrete Expectational Data and Portfolio Performance," Journal of Finance, American Finance Association, vol. 41(3), pages 699-713, July.
    25. Paul Brockman & David Michayluk, 1997. "The Holiday Anomaly: An Investigation of Firm Size versus Share Price Effects," Published Paper Series 1997-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    26. repec:bla:jfinan:v:58:y:2003:i:5:p:1933-1968 is not listed on IDEAS
    27. Francis, J & Soffer, L, 1997. "The relative informativeness of analysts' stock recommendations and earnings forecast revisions," Journal of Accounting Research, Wiley Blackwell, vol. 35(2), pages 193-211.
    28. Stephen Keef & Melvin Roush, 2005. "Day-of-the-week effects in the pre-holiday returns of the Standard & Poor's 500 stock index," Applied Financial Economics, Taylor & Francis Journals, vol. 15(2), pages 107-119.
    29. Roger K. Loh, 2010. "Investor Inattention and the Underreaction to Stock Recommendations," Financial Management, Financial Management Association International, vol. 39(3), pages 1223-1252, September.
    30. Grossman, Sanford J, 1995. "Dynamic Asset Allocation and the Informational Efficiency of Markets," Journal of Finance, American Finance Association, vol. 50(3), pages 773-787, July.
    31. Bley, Jorg & Saad, Mohsen, 2010. "Cross-cultural differences in seasonality," International Review of Financial Analysis, Elsevier, vol. 19(4), pages 306-312, September.
    32. Barone, E., 1990. "The italian stock market : Efficiency and calendar anomalies," Journal of Banking & Finance, Elsevier, vol. 14(2-3), pages 483-510, August.
    33. Mikhail, Michael B. & Walther, Beverly R. & Willis, Richard H., 2004. "Do security analysts exhibit persistent differences in stock picking ability?," Journal of Financial Economics, Elsevier, vol. 74(1), pages 67-91, October.
    34. Boni, Leslie & Womack, Kent L., 2006. "Analysts, Industries, and Price Momentum," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(1), pages 85-109, March.
    35. repec:bla:jfinan:v:59:y:2004:i:3:p:1083-1124 is not listed on IDEAS
    36. Kim, Chan-Wung & Park, Jinwoo, 1994. "Holiday Effects and Stock Returns: Further Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(1), pages 145-157, March.
    37. Roger Vergin & John McGinnis, 1999. "Revisiting the Holiday Effect: is it on holiday?," Applied Financial Economics, Taylor & Francis Journals, vol. 9(5), pages 477-482.
    38. Brad Barber & Reuven Lehavy & Maureen McNichols & Brett Trueman, 2001. "Can Investors Profit from the Prophets? Security Analyst Recommendations and Stock Returns," Journal of Finance, American Finance Association, vol. 56(2), pages 531-563, April.
    39. Donald B. Keim, "undated". "Trading Patterns, Bid-Ask Spreads and Estimated Security Returns: The Case of Common Stocks at Calendar Turning Points (Reprint 008)," Rodney L. White Center for Financial Research Working Papers 22-89, Wharton School Rodney L. White Center for Financial Research.
    40. Loh, Roger K. & Mian, G. Mujtaba, 2006. "Do accurate earnings forecasts facilitate superior investment recommendations?," Journal of Financial Economics, Elsevier, vol. 80(2), pages 455-483, May.
    Full references (including those not matched with items on IDEAS)

    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. Andrey Kudryavtsev, 2020. "Stock Return Dynamics after Analyst Recommendation Revisions," Journal of Risk & Control, Risk Market Journals, vol. 7(1), pages 1-16.
    2. Andrey Kudryavtsev, 2021. "The Correlation Between Stock Returns Before And After Analyst Recommendation Revisions," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 66(228), pages 69-100, January –.
    3. repec:rfb:journl:v:09:y:2017:i:2:p:007-026 is not listed on IDEAS
    4. Andrey Kudryavtsev, 2019. "Holiday Effect on Large Stock Price Changes," Annals of Economics and Finance, Society for AEF, vol. 20(2), pages 633-660, November.
    5. Paulo M. Gama & Elisabete F. S. Vieira, 2013. "Another look at the holiday effect," Applied Financial Economics, Taylor & Francis Journals, vol. 23(20), pages 1623-1633, October.
    6. Roger K. Loh, 2010. "Investor Inattention and the Underreaction to Stock Recommendations," Financial Management, Financial Management Association International, vol. 39(3), pages 1223-1252, September.
    7. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
    8. Loh, Roger, 2008. "Investor Attention and the Underreaction to Stock Recommendations," Working Paper Series 2008-2, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    9. Yuan, Tian & Gupta, Rakesh, 2014. "Chinese Lunar New Year effect in Asian stock markets, 1999–2012," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(4), pages 529-537.
    10. Andrey Kudryavtsev, 2017. ""I'll Think about it Tomorrow": Price Drifts Following Large Pre-Holiday Stock Price Moves," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 9(2), pages 043-062, December.
    11. Amanjot Singh & Harminder Singh & Venura Welagedara, 2024. "Aggregate uncertainty, information acquisition, and analyst stock recommendations," International Review of Finance, International Review of Finance Ltd., vol. 24(4), pages 604-640, December.
    12. Altınkılıç, Oya & Hansen, Robert S. & Ye, Liyu, 2016. "Can analysts pick stocks for the long-run?," Journal of Financial Economics, Elsevier, vol. 119(2), pages 371-398.
    13. Li, Fengfei & Lin, Chen & Lin, Tse-Chun, 2021. "Salient anchor and analyst recommendation downgrade," Journal of Corporate Finance, Elsevier, vol. 69(C).
    14. Tian Yuan & Rakesh Gupta & Robert J. Bianchi, 2015. "The Pre-Holiday Effect in China: Abnormal Returns or Compensation for Risk?," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-28.
    15. Dumitriu, Ramona & Stefanescu, Răzvan, 2020. "The Extended Holiday Effect on US capital market," MPRA Paper 100463, University Library of Munich, Germany, revised 17 May 2020.
    16. Welagedara, Venura & Deb, Saikat Sovan & Singh, Harminder, 2017. "Investor attention, analyst recommendation revisions, and stock prices," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 211-223.
    17. Pham Dan Khanh & Pham Thanh Dat & Bui Huy Nhuong, 2020. "A Re-examination of the Holiday Effect in Stock Returns: The Case of Vietnam," Edelweiss Applied Science and Technology, Learning Gate, vol. 4(1), pages 51-54.
    18. Lahav, Eyal & Shavit, Tal & Benzion, Uri, 2016. "Can't wait to celebrate: Holiday euphoria, impulsive behavior and time preference," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 128-134.
    19. Lily Fang & Ayako Yasuda, 2014. "Are Stars’ Opinions Worth More? The Relation Between Analyst Reputation and Recommendation Values," Journal of Financial Services Research, Springer;Western Finance Association, vol. 46(3), pages 235-269, December.
    20. Qadan, Mahmoud & Kliger, Doron, 2016. "The short trading day anomaly," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 62-80.
    21. Kim, Karam & Ryu, Doojin & Yang, Heejin, 2021. "Information uncertainty, investor sentiment, and analyst reports," International Review of Financial Analysis, Elsevier, vol. 77(C).

    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:pal:assmgt:v:19:y:2018:i:7:d:10.1057_s41260-018-0095-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.