Bita Mashayekhi; Vahid Mennati
Volume 10, Issue 40 , January 2014, , Pages 101-124
Abstract
In this study we investigate the relationship between earnings volatility and earnings predictability (short and long-term), in addition we investigate information content of earnings volatility. Our framework is based on Dichev and Tang (2009). There is a belief that higher earnings volatility indicates ...
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In this study we investigate the relationship between earnings volatility and earnings predictability (short and long-term), in addition we investigate information content of earnings volatility. Our framework is based on Dichev and Tang (2009). There is a belief that higher earnings volatility indicates lower earnings predictability. So according to their framework, financial information of the 400 companies listed in the Tehran Stock Exchange (TSE) from 2002 to 2012 were investigated. Although the predictability trend is not to be strict lower, But the results of this section suggest that earning volatility reduces the predictability of earnings. Moreover, the strength of long-term predictability is reduced. Additionally the loss company (Based on the theoretical framework that losses causes earnings volatility.) excluded and the tests were repeated but similar results were obtained. In the second section of the paper the relationship between the market reaction and earnings volatility was examined. Evidence suggests that the market will demand a higher return for companies with high volatility (higher risk).
G. Boulou; Y. Hassas Yeganeh; R. Harasani
Volume 8, Issue 29 , April 2010, , Pages 65-95
Abstract
This paper investigates earnings quality’s trend in Tehran stock exchange listed companies over the period 1380-1387 using a sample of 64 companies in 4 industries. In this paper, earnings quality was measured across 4 dimensions: accruals quality, earnings persistence, earnings predictability ...
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This paper investigates earnings quality’s trend in Tehran stock exchange listed companies over the period 1380-1387 using a sample of 64 companies in 4 industries. In this paper, earnings quality was measured across 4 dimensions: accruals quality, earnings persistence, earnings predictability and smoothness. The results provided no evidence of decline in earnings quality over the sample period. Further statistical analysis showed that the earnings quality data are descriptive of a random walk model. Only regressing the measures of earnings quality on time provided some evidence of slight improvement in accruals quality in one of the industries.
