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Asset returns with earnings management

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Listed author(s):
  • Bo Sun
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Abstract

The paper 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 financial anomalies observed in the return data: volatility clustering, asymmetric volatility, and increased idiosyncratic volatility. The calibration results further indicate that earnings management by individual firms does not only deliver the observed features in their own stocks, but can also be strong enough to generate market-wide patterns.

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File URL: http://www.federalreserve.gov/pubs/ifdp/2009/988/default.htm
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File URL: http://www.federalreserve.gov/pubs/ifdp/2009/988/ifdp988.pdf
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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series International Finance Discussion Papers with number 988.

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Date of creation: 2009
Handle: RePEc:fip:fedgif:988
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Keywords: Stocks - Rate of return;

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  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, 01.
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  7. Anil Arya & Shyam Sunder & Jonathan Glover, 2002. "Are Unmanaged Earnings Always Better for Shareholders?," Yale School of Management Working Papers ysm295, Yale School of Management, revised 01 Feb 2003.
  8. Pok-sang Lam & Stephen G. Cecchetti & Nelson C. Mark, 2000. "Asset Pricing with Distorted Beliefs: Are Equity Returns Too Good to Be True?," American Economic Review, American Economic Association, vol. 90(4), pages 787-805, September.
  9. Kwon, Illoong & Yeo, Eunjung, 2009. "Overstatement and rational market expectation," Economics Letters, Elsevier, vol. 104(1), pages 9-12, July.
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  11. Schwert, C.W., 1989. "Margin Requirements And Stock Volatility," Papers t6, Columbia - Center for Futures Markets.
  12. 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.
  13. Jiang Wang, 1993. "A Model of Intertemporal Asset Prices Under Asymmetric Information," Review of Economic Studies, Oxford University Press, vol. 60(2), pages 249-282.
  14. Gorton, Gary B. & He, Ping & Huang, Lixin, 2014. "Agency-based asset pricing," Journal of Economic Theory, Elsevier, vol. 149(C), pages 311-349.
  15. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters,in: THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78 World Scientific Publishing Co. Pte. Ltd..
  16. Detemple, Jerome B, 1986. " Asset Pricing in a Production Economy with Incomplete Information," Journal of Finance, American Finance Association, vol. 41(2), pages 383-391, June.
  17. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
  18. Jonathan C. Glover & Anil Arya & Shyam NMI Sunder, 1999. "Earnings Management and the Revelation Principle," Yale School of Management Working Papers ysm120, Yale School of Management.
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