The Effective Factors in Abnormal Error of Earnings Forecast-In Case of Iran
Abstract
Purpose: the main purpose of this research is to examine the effective factors in abnormal error of earnings forecast.
Design/methodology/approach: this research is an applied research, and its design is semi-empirical, which is done by the method of post-event (past information). The statistical population of the research includes all companies listed in Tehran Stock Exchange (TSE), and its period is four years, from 2010 to 2013. To examine the hypotheses, correlation analysis, and variance analysis test are used.
Findings: the results of this research indicate there is a meaningful relationship between the type of industry, and the effective factors in abnormal error of earnings forecast. The mining, chemical materials, petrochemical and pharmaceutical industries have high abnormal error of earnings forecast, while metal industries, agriculture, and animal husbandry have low abnormal error of earnings forecast. Also we find in this research that there is a meaningful relation between the firm size, and the firm age in stock exchange. Finally, simultaneous effect of the three factors on abnormal error of earnings forecast was examined.
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