mahnam molaei; naser izadinia; hadi Amiri
Abstract
The purpose of this study is to investigate the information content of a new risk measure (earnings downside risk) in financial statement analysis, which is based on the below-expectation variability in earnings. So, the relation between earnings attributes, earnings beta, earnings volatility, return ...
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The purpose of this study is to investigate the information content of a new risk measure (earnings downside risk) in financial statement analysis, which is based on the below-expectation variability in earnings. So, the relation between earnings attributes, earnings beta, earnings volatility, return downside risk and negative skewness of stock return with earnings downside risk were examined. Five main hypotheses and seven sub-hypotheses were defined and data were analyzed for 91 companies members of Tehran stock exchange of the period from 2000 to 2014. The research regression model was tested using panel data method. The results of research show that accruals quality, persistence, predictability, smoothing, timeliness, earnings beta, earnings volatility, return downside risk and negative skewness of stock return have a significant relation with the earnings downside risk. Therefore, it can be calculated that information on this risk measures falls in the earnings downside risk. Relevance and conservatism variables, although in regression analysis did not have a significant relation with the earnings downside risk along with other risk factors, but in the correlation analysis, there is a significant and negative relationship with the earnings downside risk.
