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Are accruals mispriced Evidence from tests of an Intertemporal Capital Asset Pricing Model

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  • Khan, Mozaffar
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    Abstract

    This paper proposes a risk-based explanation for the accrual anomaly. Risk is measured using a four-factor model motivated by the Intertemporal Capital Asset Pricing Model. Tests of the model suggest that a considerable portion of the cross-sectional variation in average returns to high and low accrual firms is explained by risk. The four-factor model also performs better than some other widely used models in pricing a number of different hedge portfolios.

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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Accounting and Economics.

    Volume (Year): 45 (2008)
    Issue (Month): 1 (March)
    Pages: 55-77

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    Handle: RePEc:eee:jaecon:v:45:y:2008:i:1:p:55-77

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    Web page: http://www.elsevier.com/locate/jae

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    Cited by:
    1. Balakrishnan, Karthik & Bartov, Eli & Faurel, Lucile, 2010. "Post loss/profit announcement drift," Journal of Accounting and Economics, Elsevier, vol. 50(1), pages 20-41, May.
    2. Richardson, Scott & Tuna, Irem & Wysocki, Peter, 2010. "Accounting anomalies and fundamental analysis: A review of recent research advances," Journal of Accounting and Economics, Elsevier, vol. 50(2-3), pages 410-454, December.
    3. Barth, Mary E. & Israeli, Doron, 2013. "Disentangling mandatory IFRS reporting and changes in enforcement," Journal of Accounting and Economics, Elsevier, vol. 56(2), pages 178-188.
    4. Murtazashvili, Irina & Vozlyublennaia, Nadia, 2013. "When do characteristics-sorted factors mechanically explain returns?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 25(C), pages 119-143.
    5. Norio Kitagawa & Akinobu Shuto, 2013. "Credibility of Management Earnings Forecasts and Future Returns," Discussion Paper Series DP2013-30, Research Institute for Economics & Business Administration, Kobe University.
    6. Mohanram, Partha & Rajgopal, Shiva, 2009. "Is PIN priced risk?," Journal of Accounting and Economics, Elsevier, vol. 47(3), pages 226-243, June.
    7. Jorgensen, Bjorn & Li, Jing & Sadka, Gil, 2012. "Earnings dispersion and aggregate stock returns," Journal of Accounting and Economics, Elsevier, vol. 53(1), pages 1-20.
    8. Olivier Ledoit & Michael Wolf, 2013. "Spectrum estimation: a unified framework for covariance matrix estimation and PCA in large dimensions," ECON - Working Papers 105, Department of Economics - University of Zurich, revised Jul 2013.
    9. Georgios Papanastasopoulos & Dimitrios Thomakos & Tao Wang, 2010. "The implications of retained and distributed earnings for future profitability and stock returns," Review of Accounting and Finance, Emerald Group Publishing, vol. 9(4), pages 395 - 423, November.
    10. Santanu Mitra & Mahmud Hossain, 2011. "Corporate governance attributes and remediation of internal control material weaknesses reported under SOX Section 404," Review of Accounting and Finance, Emerald Group Publishing, vol. 10(1), pages 5 - 29, February.
    11. 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.

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