عنوان : ( Application of Earning and Value Added in Reducing the Forecast Error of GDP )
نویسندگان: ایرج میرحسینی , مهدی مرادی , مهدی صالحی , مهدی جباری نوقابی ,چکیده
The current research seeks to evaluate the role of accounting information in reducing the forecasting error of GDP with an emphasis on earning and value added information. The current research method is applied research and in the descriptive-correlation research group, and the theoretical foundations and research background are based on the library studies method. The information of 30 large companies was collected based on the market value, according to this, the time domain of the research is between 2009 and 2021, so that the market value These companies have a major contribution to the GDP and the final data analysis was done with the help of Eviews12 software. The correlation test between research variables indicates a positive and significant correlation between values added and earnings with gross domestic product. The results showed that accounting information in the form of value-added leads to a reduction in the forecasting error of gross domestic product. In addition, the findings of the research showed that accounting information in the form of aggregate earnings has no effect on the forecasting error of the gross domestic product, which can be an important reason for the obligation of companies to publish financial reports should be considered as value added
کلمات کلیدی
, Value-Added, Earning, GDP, Conservatism.@article{paperid:1099427,
author = {میرحسینی, ایرج and مرادی, مهدی and صالحی, مهدی and جباری نوقابی, مهدی},
title = {Application of Earning and Value Added in Reducing the Forecast Error of GDP},
journal = {حسابداری مالی},
year = {2024},
volume = {15},
number = {58},
month = {April},
issn = {2345-2617},
pages = {44--59},
numpages = {15},
keywords = {Value-Added; Earning; GDP; Conservatism.},
}
%0 Journal Article
%T Application of Earning and Value Added in Reducing the Forecast Error of GDP
%A میرحسینی, ایرج
%A مرادی, مهدی
%A صالحی, مهدی
%A جباری نوقابی, مهدی
%J حسابداری مالی
%@ 2345-2617
%D 2024