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Predicting Stock Market Returns with Aggregate Discretionary Accruals


Qiang Kang


Florida International University (FIU) - Department of Finance

Qiao Liu


University of Hong Kong - School of Economics and Finance; Peking University - Guang Hua School of Management

Rong Qi


St. John's University

January 8, 2010

Journal of Accounting Research, Forthcoming

Abstract:     
We find that the positive relation between aggregate accruals and one-year-ahead market returns documented in Hirshleifer, Hou and Teoh [2009] is driven by discretionary accruals but not normal accruals. The return forecasting power of aggregate discretionary accruals is robust to choices of sample periods, return measurements, estimation methods, business condition and risk premium proxies, and accrual models used to isolate discretionary accruals. Our extensive analysis shows that aggregate discretionary accruals, in sharp contrast to aggregate normal accruals, contain little information about overall business conditions or aggregate cash flows and display little co-movement with ICAPM-motivated risk premium proxies. Our findings imply that aggregate discretionary accruals likely reflect aggregate fluctuations in earnings management, thereby favoring the behavioral explanation that managers time aggregate equity markets to report earnings.

Number of Pages in PDF File: 52

Keywords: Aggregate Discretionary Accruals, Return Predictive Regressions, ICAPM-Motivated Risk Premium Proxies, Managerial Market Timing

JEL Classification: G10, M40

Accepted Paper Series


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Date posted: March 9, 2010  

Suggested Citation

Kang, Qiang, Liu, Qiao and Qi, Rong, Predicting Stock Market Returns with Aggregate Discretionary Accruals (January 8, 2010). Journal of Accounting Research, Forthcoming. Available at SSRN: http://ssrn.com/abstract=1567012

Contact Information

Qiang Kang (Contact Author)
Florida International University (FIU) - Department of Finance ( email )
University Park
11200 SW 8th Street
Miami, FL 33199
United States
Qiao Liu
University of Hong Kong - School of Economics and Finance ( email )
School of Economics and Finance
Pokfulam
Hong Kong
Hong Kong
852-2859-1059 (Phone)
852-2548-1152 (Fax)
Peking University - Guang Hua School of Management ( email )
Peking University
Beijing, 100871
China
Rong Qi
St. John's University ( email )
8000 Utopia Parkway
Queens, NY
United States
Feedback to SSRN (Beta)


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