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2013 (Vol. 5, Issue: 21)
Article Information:

The Incremental Information Content of Income Smoothing in Firm Listed in Tehran Stock Exchange (TSE)

Ali Jamshidi, Keyhan Rahmani and Zahra Askari
Corresponding Author:  Ali Jamshidi 

Key words:  Information content, income smoothing, profitability, , , ,
Vol. 5 , (21): 5122-5127
Submitted Accepted Published
November 24, 2012 December 17, 2012 May 20, 2013
Abstract:

This study aims at achieving the following objectives: examining the explanatory power of the income smoothing of future profitability, introducing evidence about the information content of income smoothing from the Iranian market and enriching the literature on income smoothing relationships in the capital market research. The study sample consists of (46) industrial companies listed in the Tehran Stock Exchange, during the period (2004-2011). Regression analysis is employed to examine the study's hypotheses (Four Models). Wald test and Adjusted-R2 was used to indicate the incremental information content for the study variables. The study found the following: 1. Current profitability predicts future profitability. 2. Income smoothing hasnít incremental information relative to current profitability when predicting future profitability. 3. Past profitability doesnít provide incremental information related to current profitability when predicting the future profitability. 4. Income smoothing hasnít incremental information content with respect to current and past profitability when predicting future profitability. These results mean that the lagged earnings is a good predictor to the future earnings and Iranian companies' managers can manipulate profitability trend in the future to achieve a target level in earnings by using income smoothing tools.
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  Cite this Reference:
Ali Jamshidi, Keyhan Rahmani and Zahra Askari, 2013. The Incremental Information Content of Income Smoothing in Firm Listed in Tehran Stock Exchange (TSE).  Research Journal of Applied Sciences, Engineering and Technology, 5(21): 5122-5127.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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