مطالب

Cash flow is one of the critical resources in the economic unit and the balance between available cash and cash needs is the most important factor in economic health. Since judgments of many stakeholders such as investors and shareholders about the position of the economic unit are based on liquidity situation, so predicting future cash flow is crucial. In this research, the impact of cash and accrual items on cash flow forecasts has been studied. Providing a proper model to predict operating cash flows and review some important characteristics of cash flow forecasting regression models, using a multilayer perceptron and determining the best model by using accrual regression model variables for predicting cash flows. For this purpose, 287 firms listed in Tehran Stock Exchange during 2008 to 2017 were studied; Linear and nonlinear regression, correlation coefficient and artificial neural network statistical methods have been used for data analysis and predictive power of powers was compared by using the sum of squared prediction error and coefficient of determination. Results showed that the accrual regression model can predict future cash flows better than other tested models and among corporate characteristics, the highest correlation belongs to sales volatility and firm size with accrual regression models. On the other hand, results of fitting different neural network models indicate that two structures with 8 and 11 hidden nodes are the best models to predict cash flows.

In recent financial scandals, related parties transactions (RPTs) have been as one of the major concerns, so that the targeted use of these transactions and lack of their disclosure or insufficient disclosure are some of the factors in the failure of the corporates. In RPTs, there is a risk that the related party may be favoured with terms that could harm the interests of the company’s shareholders. The purpose of this study was to investigate the effects of different types of related parties transactions on the firm value with the moderating role of the audit committee incorporates listed in Tehran Stock Exchange. The research statistical sample consists of 100 listed firms in the Tehran Stock Exchange in 6 years of 2013-2018. This research, based on the nature and content, is a descriptive/ correlational research. Using Panel data and multiple regression, the results of the research show that there is a negative relationship between RPTs and the firm value. The findings also show that there is a positive relationship between the audit committee and the firm value. Also, the findings show that different types of RPTs have a different effect on the firm value. The results also show that the audit committee does not affect the relationship between RPTs and the firm value.