جستجوی مقالات مرتبط با کلیدواژه « بازده اضافی مطلق » در نشریات گروه « حسابداری »

This research investigates the relationship between accounting information quality proxies including persistency, predictability, smoothness, value relevance, informativeness, timeliness, conservatism and transparency from precision aspect (Earnings quality) and absolute excess returns as one of the information quality consequences. Information quality proxies, backed by research literatures, are measured by the most common models. Thus, data of 67 firms (1139 year- firm) listed on Tehran stock exchange during 1996 to 2011 have been collected and studied with due consideration for certain characteristics. Ols and correlation method (time series and pooled data) for measuring independent variables and hedging portfolio and paired samples t-test for testing research hypotheses have been applied. The Result reveal that absolute excess returns can evaluate the usefulness of accounting information quality proxies (persistency, predictability, smoothness, value relevance, informativeness, timeliness, conservatism and transparency). Additionally, informativeness proxy can earns significant more absolute excess returns (positive) in comparison with the other proxies. The Result doesnt change with controlling abnormal factors which affect on dependent variable and making adjustment for business model, risk and operational environment.

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.