Designing a Model for Measuring Accounting Information Quality

This study examines the ability of determination of information quality composite, from precision aspect (earnings quality) by using absolute excess returns as one of the information quality consequences. To this end, information quality proxies, backed by research literatures, is measured by the most common models in this area. Thus, data of 67 firms listed on Tehran stock exchange during 1996 to 2011 has been collected and examined with due consideration of certain characteristics. OLS and correlation method for measuring independent variables and Hedging portfolio, paired samples t-test, exploratory factor analysis and evolutionary genetic algorithm has been applied for testing research hypotheses. The results reveal that from five earnings quality informative proxies, (first and second proxy), residual smoothness (first proxy), residual accrual quality (second proxy) and residual conservatism, in comparison with other proxies have more ability in measuring information quality from the precision aspect.