The impact of Financial Reporting Quality on Economic Growth using Neural Network

The aqcuta lity of financial information is an important issue in accounting, and hasalways been a crucial concern in this profession. Experts believe the importance ofthis stems from the fact that financial information shall precisely depict what hasreally happened. The aim of this research is to analyse the impact of Financial Reporting Qualityon Economic Growth using Neural Network. In this research we study the data of93 companies listed on the Tehran Stock Exchange (TSE) from 2009 to 2015. Thesample is divided into two categories of testing and training. The results suggestthat since the amount of error in testing sample is equal to training sample, modelfitness is acceptable; Also, the findings represent that changes in the measure of thequality of reporting, Company size, Information Uncertainty Measures of Changesin Economic Growth.

کلیدواژه ها:

Financial Reporting quality ، Company Size ، Information Uncertainty ، Economic Growth ، Neural Network