IDEAS home Printed from https://ideas.repec.org/a/wly/iecrev/v55y2014i1p255-282.html
   My bibliography  Save this article

Asset Returns Under Periodic Revelations Of Earnings Management

Author

Listed:
  • BO SUN

Abstract

The article investigates stock return dynamics in an environment where executives have an incentive to maximize their compensation by artificially inflating earnings. A principal–agent model with financial reporting and managerial effort is embedded in a Lucas asset‐pricing model with periodic revelations of the firm's underlying profitability. The return process generated from the model is consistent with a range of empirical regularities observed in the return data: volatility clustering, asymmetric volatility, and high idiosyncratic volatility. The calibration results further indicate that earnings management can be quantitatively important in accounting for the dynamic patterns of stock returns.

Suggested Citation

  • Bo Sun, 2014. "Asset Returns Under Periodic Revelations Of Earnings Management," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(1), pages 255-282, February.
    • Handle: RePEc:wly:iecrev:v:55:y:2014:i:1:p:255-282
    DOI: 10.1111/iere.12048
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/iere.12048
    Download Restriction: no
    File URL: https://libkey.io/10.1111/iere.12048?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
    ---><---

    References listed on IDEAS

    as
    1. Jamsheed Shorish & Stephen E. Spear, 2005. "Shaking the tree: an agency-theoretic model of asset pricing," Annals of Finance, Springer, vol. 1(1), pages 51-72, January.
    2. Campbell, John Y. & Hentschel, Ludger, 1992. "No news is good news *1: An asymmetric model of changing volatility in stock returns," Journal of Financial Economics, Elsevier, vol. 31(3), pages 281-318, June.
    3. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
    4. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    5. Lucas, Robert E, Jr, 1978. "Asset Prices in an Exchange Economy," Econometrica, Econometric Society, vol. 46(6), pages 1429-1445, November.
    6. Schwert, C.W., 1989. "Margin Requirements And Stock Volatility," Papers t6, Columbia - Center for Futures Markets.
    7. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    8. Holthausen, Robert W. & Larcker, David F. & Sloan, Richard G., 1995. "Annual bonus schemes and the manipulation of earnings," Journal of Accounting and Economics, Elsevier, vol. 19(1), pages 29-74, February.
    9. Kasznik, R, 1999. "On the association between voluntary disclosure and earnings management," Journal of Accounting Research, Wiley Blackwell, vol. 37(1), pages 57-81.
    10. Healy, Paul M., 1985. "The effect of bonus schemes on accounting decisions," Journal of Accounting and Economics, Elsevier, vol. 7(1-3), pages 85-107, April.
    11. Burgstahler, David & Dichev, Ilia, 1997. "Earnings management to avoid earnings decreases and losses," Journal of Accounting and Economics, Elsevier, vol. 24(1), pages 99-126, 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. Sonia Yasin & Muhammad Irfan & Muhammad Shaukat Malik & Fasiha Nargis, 2022. "The Relationship between Executive Remuneration and Organizations Efficiency," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(3), pages 59-70, December.

    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. Bo Sun, 2009. "Asset returns with earnings management," International Finance Discussion Papers 988, Board of Governors of the Federal Reserve System (U.S.).
    2. Ericsson, Jan & Huang, Xiao & Mazzotta, Stefano, 2016. "Leverage and asymmetric volatility: The firm-level evidence," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 1-21.
    3. Yu, Fang (Frank), 2008. "Analyst coverage and earnings management," Journal of Financial Economics, Elsevier, vol. 88(2), pages 245-271, May.
    4. Sebahattin Demirkan & Harlan Platt, 2009. "Financial status, corporate governance quality, and the likelihood of managers using discretionary accruals," Accounting Research Journal, Emerald Group Publishing Limited, vol. 22(2), pages 93-117, September.
    5. repec:adr:anecst:y:1991:i:24:p:01 is not listed on IDEAS
    6. Hervé Stolowy & Gaetan Breton, 2000. "A Framework for the Classification of Accounts Manipulations," Working Papers hal-00597249, HAL.
    7. Jorge Farinha & Luis Filipe Viana, 2006. "Board structure and modified audit opinions: the case of the Portuguese Stock Exchange," CEF.UP Working Papers 0609, Universidade do Porto, Faculdade de Economia do Porto.
    8. Réal Labelle & Rim Makni Gargouri & Claude Francoeur, 2010. "Ethics, Diversity Management, and Financial Reporting Quality," Journal of Business Ethics, Springer, vol. 93(2), pages 335-353, May.
    9. A. W. Rathgeber & J. Stadler & S. Stöckl, 2021. "The impact of the leverage effect on the implied volatility smile: evidence for the German option market," Review of Derivatives Research, Springer, vol. 24(2), pages 95-133, July.
    10. Ann Jorissen & David Otley, 2010. "The management of accounting numbers: Case study evidence from the ‘crash’ of an airline," Accounting and Business Research, Taylor & Francis Journals, vol. 40(1), pages 3-38.
    11. Keunbae Ahn, 2021. "Predictable Fluctuations in the Cross-Section and Time-Series of Asset Prices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2021.
    12. Harakeh, Mostafa & El-Gammal, Walid & Matar, Ghida, 2019. "Female directors, earnings management, and CEO incentive compensation: UK evidence," Research in International Business and Finance, Elsevier, vol. 50(C), pages 153-170.
    13. Dechow, Patricia & Ge, Weili & Schrand, Catherine, 2010. "Understanding earnings quality: A review of the proxies, their determinants and their consequences," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 344-401, December.
    14. Daouk, Hazem & Ng, David, 2011. "Is unlevered firm volatility asymmetric?," Journal of Empirical Finance, Elsevier, vol. 18(4), pages 634-651, September.
    15. Stratopoulos, Theophanis C. & Vance, Tom W. & Zou, Xiorong, 2013. "Incentive effects of enterprise systems on the magnitude and detectability of reporting manipulations," International Journal of Accounting Information Systems, Elsevier, vol. 14(1), pages 39-57.
    16. Leslie Hodder & William J. Mayew & Mary Lea McAnally & Connie D. Weaver, 2006. "Employee Stock Option Fair†Value Estimates: Do Managerial Discretion and Incentives Explain Accuracy?," Contemporary Accounting Research, John Wiley & Sons, vol. 23(4), pages 933-975, December.
    17. Xilong Chen & Eric Ghysels, 2011. "News--Good or Bad--and Its Impact on Volatility Predictions over Multiple Horizons," Review of Financial Studies, Society for Financial Studies, vol. 24(1), pages 46-81, October.
    18. Dufour, Jean-Marie & García, René & Taamouti, Abderrahim, 2008. "Measuring causality between volatility and returns with high-frequency data," UC3M Working papers. Economics we084422, Universidad Carlos III de Madrid. Departamento de Economía.
    19. Boucher, Christophe & Maillet, Bertrand & Michel, Thierry, 2008. "Do misalignments predict aggregated stock-market volatility?," Economics Letters, Elsevier, vol. 100(2), pages 317-320, August.
    20. Taufiq Choudhry & Ranadeva Jayasekera, 2015. "Level of efficiency in the UK equity market: empirical study of the effects of the global financial crisis," Review of Quantitative Finance and Accounting, Springer, vol. 44(2), pages 213-242, February.
    21. Hutson, Elaine & Kearney, Colm & Lynch, Margaret, 2008. "Volume and skewness in international equity markets," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1255-1268, July.

    More about this item

    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:wly:iecrev:v:55:y:2014:i:1:p:255-282. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/deupaus.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.