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Nonlinear earnings persistence

Listed author(s):
  • Cheng, Che-Hui
  • Wu, Po-Chin
Registered author(s):

    This study employs panel smooth transition regression (PSTR) models with different lagged variables of earnings components as regressor to evaluate earnings persistence effects. The models can resolve collinearity problems between predictors, reflect firms' volatile or irregular earnings streams that are likely derived from long-run investments, and provide more useful information for improving forecasting performance. Most importantly, they can describe differential earnings persistence effects between different regimes that have not been verified by previous studies. Our empirical results support these arguments.

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    File URL: http://www.sciencedirect.com/science/article/pii/S1059056012000639
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    Article provided by Elsevier in its journal International Review of Economics & Finance.

    Volume (Year): 25 (2013)
    Issue (Month): C ()
    Pages: 156-168

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    Handle: RePEc:eee:reveco:v:25:y:2013:i:c:p:156-168
    DOI: 10.1016/j.iref.2012.07.003
    Contact details of provider: Web page: http://www.elsevier.com/locate/inca/620165

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