abstract: despite the importance of predictive variable in prediction, in most of the research in the field of auditors’ opinion the purpose was rendering the suitable models. meanwhile, less attention was paid to the selection of optimal predictive variable and appropriate models of these selection. therefore, in most of these research the predictive variables were chosen randomly and accordin...

in today's competitive world, establishıng a proper system of evaluating firms performance is essential. the purpose of this study is to evaluate the financial performance of pharmaceutical, basic metals and automotive parts companies using a new method. the fuzzy ahp is used for weighting the performance evaluation measures and fuzzy topsis and fuzzy vikor is also used to rank the compani...

this world; though all the discussions are focused on the causal relationships in allthe scientific arguments. One of the methods to study the designed causal relationshipsobjectively is Granger causality test. This paper aims to investigate the longtermcausal relationship between the stock price and dividends. The statisticalpopulation includes 180 active companies in Stock Exchange of Tehran ...

Stock trend forecasting is a one of the main factors in choosing the best investment, hence prediction and comparison of different firms’ stock trend is one method for improving investment process. Stockholders need information for forecasting firm’s stock trend in order to make decision about firms’ stock trading. In this study stock trend, forecasting performs by data mining algorithm. It sho...

One of the main concepts in pattern recognition is clustering. This technique is used as important knowledge discovery tools in modern machine learning process. Clustering of high-performance companies is very important not only for investors, but also for the creditors, financial creditors, stockholders, etc. Hence, firms’ clustering is considered as one of the important issues in Tehran Stock...