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Predicting Stock Market Returns with Aggregate Discretionary Accruals
Authors:QIANG KANG  QIAO LIU  RONG QI
Institution:1. Finance Department, University of Miami;2. School of Economics and Finance, University of Hong Kong;3. Peter J. Tobin College of Business, St. John's University.
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.
Keywords:
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