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Does Volatility Improve UK Earnings Forecasts?
Authors:Nikola  Petrovic  Stuart  Manson and Jerry  Coakley
Institution:The first author is from the School of Economics, Finance and Management, University of Bristol. The second author is from the Essex Business School, University of Essex. The third author is from the Essex Finance Centre and Essex Business School, University of Essex. They are grateful for the insightful comments and suggestions of Martin Walker (editor), an anonymous referee, Ana Gisbert, and participants at the EFMA 2006 Conference at Complutense University, Madrid. Nikola Petrovic gratefully acknowledges the financial support provided by the UK Overseas Research Studentship Award Scheme and Essex Business School at the University of Essex for a PhD scholarship.
Abstract:Abstract:  We investigate the relation between UK accounting earnings volatility and the level of future earnings using a unique sample comprising some 10,480 firm-year observations for 1,481 non-financial firms over the 1985–2003 period. The findings confirm the in-sample result of an inverse volatility-earnings relation only for the 1998–2003 sub-period and for the most profitable firms. The out-of-sample forecast accuracy for the top earnings quintile improves when volatility is added as a regressor to a model including only lagged earnings. The findings are consistent with the over-investment hypothesis and the view that the earnings of the most volatile firms tend to mean revert more rapidly.
Keywords:earnings volatility  under-investment  over-investment  earnings persistence
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