IDEAS home Printed from https://ideas.repec.org/a/ibn/ijefaa/v9y2017i10p40-45.html
   My bibliography  Save this article

Hedge Funds and Earnings Momentum

Author

Listed:
  • Daniel T. Lawson

Abstract

This study determines if hedge funds take advantage of the earnings momentum anomaly. A five-factor model was used including Fama and French (1993) and Carhart (1997) factors as well as an earnings momentum factor based on Chordia and Shivakumar (2007). The average hedge fund does not take advantage of the post-earnings momentum drift; however, larger funds associated with equity long only and equity short bias strategies successfully arbitrage on the earnings anomaly, contributing 2-3% per year, respectively. In contrast, funds with event driven, fund timing, and convertible arbitrage strategies tend to employ a strategy opposite to that of the earnings momentum anomaly and suffer losses accordingly.

Suggested Citation

  • Daniel T. Lawson, 2017. "Hedge Funds and Earnings Momentum," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(10), pages 40-45, October.
    • Handle: RePEc:ibn:ijefaa:v:9:y:2017:i:10:p:40-45
    as

    Download full text from publisher

    File URL: http://ccsenet.org/journal/index.php/ijef/article/view/69820/38375
    Download Restriction: no
    File URL: http://ccsenet.org/journal/index.php/ijef/article/view/69820
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lakonishok, Josef & Vermaelen, Theo, 1990. "Anomalous Price Behavior around Repurchase Tender Offers," Journal of Finance, American Finance Association, vol. 45(2), pages 455-477, June.
    2. Vikas Agarwal, 2004. "Risks and Portfolio Decisions Involving Hedge Funds," The Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 63-98.
    3. Bernard, Vl & Thomas, Jk, 1989. "Post-Earnings-Announcement Drift - Delayed Price Response Or Risk Premium," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 1-36.
    4. Brown, P, 1989. "Ball And Brown [1968]," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 202-217.
    5. Rodney D. Boehme & Sorin M. Sorescu, 2002. "The Long‐run Performance Following Dividend Initiations and Resumptions: Underreaction or Product of Chance?," Journal of Finance, American Finance Association, vol. 57(2), pages 871-900, April.
    6. Fung, William & Hsieh, David A, 1997. "Empirical Characteristics of Dynamic Trading Strategies: The Case of Hedge Funds," The Review of Financial Studies, Society for Financial Studies, vol. 10(2), pages 275-302.
    7. Loughran, Tim & Ritter, Jay R., 2000. "Uniformly least powerful tests of market efficiency," Journal of Financial Economics, Elsevier, vol. 55(3), pages 361-389, March.
    8. Fung, William & Hsieh, David A., 2000. "Performance Characteristics of Hedge Funds and Commodity Funds: Natural vs. Spurious Biases," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 291-307, 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. Daniel T. Lawson & Robert L. Schwartz, 2018. "Do Hedge Funds Arbitrage on Asset Growth, Earnings Momentum and Equity Financing Anomalies?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(9), pages 1-38, September.

    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. Daniel T. Lawson & Robert L. Schwartz, 2018. "Do Hedge Funds Arbitrage on Asset Growth, Earnings Momentum and Equity Financing Anomalies?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(9), pages 1-38, September.
    2. Jung‐Soon Shin & Minki Kim & Dongjun Oh & Tong Suk Kim, 2019. "Do hedge funds time market tail risk? Evidence from option‐implied tail risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 205-237, February.
    3. Stephen J. Brown & William N. Goetzmann & Bing Liang, 2005. "Fees On Fees In Funds Of Funds," World Scientific Book Chapters, in: H Gifford Fong (ed.), The World Of Hedge Funds Characteristics and Analysis, chapter 7, pages 141-160, World Scientific Publishing Co. Pte. Ltd..
    4. Benoît Dewaele, 2013. "Leverage and Alpha: The Case of Funds of Hedge Funds," Working Papers CEB 13-033, ULB -- Universite Libre de Bruxelles.
    5. Wong, Wing-Keung & Phoon, Kok Fai & Lean, Hooi Hooi, 2008. "Stochastic dominance analysis of Asian hedge funds," Pacific-Basin Finance Journal, Elsevier, vol. 16(3), pages 204-223, June.
    6. Hwang, Inchang & Xu, Simon & In, Francis & Kim, Tong Suk, 2017. "Systemic risk and cross-sectional hedge fund returns," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 109-130.
    7. Kooli, Maher & Zhang, Min, 2022. "Not only skill but also scale: Evidence from the hedge funds industry," International Review of Financial Analysis, Elsevier, vol. 83(C).
    8. Douglas Cumming & Na Dai, 2010. "A Law and Finance Analysis of Hedge Funds," Financial Management, Financial Management Association International, vol. 39(3), pages 997-1026, September.
    9. Weng, Haijie & Trück, Stefan, 2011. "Style analysis and Value-at-Risk of Asia-focused hedge funds," Pacific-Basin Finance Journal, Elsevier, vol. 19(5), pages 491-510, November.
    10. Agarwal, Vikas & Arisoy, Y. Eser & Naik, Narayan Y., 2017. "Volatility of aggregate volatility and hedge fund returns," Journal of Financial Economics, Elsevier, vol. 125(3), pages 491-510.
    11. Wilkens, Marco & Yao, Juan & Jeyasreedharan, Nagaratnam & Oehler, Patrick, 2013. "Measuring the performance of hedge funds using two-stage peer group benchmarks," Working Papers 2013-18, University of Tasmania, Tasmanian School of Business and Economics, revised 01 Jun 2013.
    12. Cui, Wei & Yao, Juan, 2020. "Funds of hedge funds: Are they really the high society for little guys?," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 346-361.
    13. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    14. Sam Nasypbek & Scheherazade S Rehman, 2011. "Explaining the returns of active currency managers," BIS Papers chapters, in: Bank for International Settlements (ed.), Portfolio and risk management for central banks and sovereign wealth funds, volume 58, pages 211-256, Bank for International Settlements.
    15. Peter Klein & Daryl Purdy & Isaac Schweigert & Alexander Vedrashko, 2015. "The Canadian Hedge Fund Industry: Performance and Market Timing," International Review of Finance, International Review of Finance Ltd., vol. 15(3), pages 283-320, September.
    16. Michael S. O’Doherty & N. E. Savin & Ashish Tiwari, 2016. "Evaluating Hedge Funds with Pooled Benchmarks," Management Science, INFORMS, vol. 62(1), pages 69-89, January.
    17. Eling, Martin & Faust, Roger, 2010. "The performance of hedge funds and mutual funds in emerging markets," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1993-2009, August.
    18. Juliane Proelss & Denis Schweizer, 2014. "Polynomial goal programming and the implicit higher moment preferences of US institutional investors in hedge funds," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(1), pages 1-28, February.
    19. Akihiko Takahashi & Kyo Yamamoto, 2009. "Generating a Target Payoff Distribution with the Cheapest Dynamic Portfolio: An Application to Hedge Fund Replication," CIRJE F-Series CIRJE-F-624, CIRJE, Faculty of Economics, University of Tokyo.
    20. Hirshleifer, David & Jiang, Danling, 2007. "Commonality in Misvaluation, Equity Financing, and the Cross Section of Stock Returns," MPRA Paper 16134, University Library of Munich, Germany, revised 08 Jul 2009.

    More about this item

    Keywords

    hedge funds; earnings momentum; market anomalies; arbitrage; behavioral finance;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijefaa:v:9:y:2017:i:10:p:40-45. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.