Iranian Journal of Finance

Abstract Today, numerous studies have investigated the role and effects of intangible assets on companies' performance. The existence of extensive literature regarding the use of intangible assets as a competitive advantage, in addition to the importance of performance dimensions affected by these assets, is the focus of the attention of various researchers. Regarding examining the performance dimensions of banks, the CAMEL model can be a suitable basis for evaluating the effects of intellectual capital. Although there are many models for calculating intellectual capital, the added value of the intellectual coefficient is still one of the most common methods. Therefore, in the current research, the effects of intellectual capital (based on the calculation model of the coefficient of added value of intellectual capital) on the performance of banks (based on the CAMEL model) have been investigated. Also, the shape of the function (linear or nonlinear) has been investigated in this research. The results show that the value added of the intellectual capital coefficient in the ninth quantile has a significant relationship with the variable of capital adequacy. The form of the relationship is nonlinear and inverted U. This variable affects the quality of assets in the seventh to ninth quantiles, management in the eighth and ninth quantiles, income in the first and second and sixth to ninth quantiles, and liquidity in the first to fourth quantiles. The shape of the function is U, inverse U, and inverse U, respectively.

Abstract Profit is one of the financial statement items that significantly impact user decision-making and has received a lot of attention. Evaluating goal achievement is one of the essential aspects of any economic activity. With the increasing progress of economic activities and the need for more accurate evaluation methods to reality and complete older methods, this issue undoubtedly enters a new field. Economic value added is a performance measure that accurately calculates how a company's value increases or decreases, considering the opportunity cost of shareholders and the time value of money. This research aims to identify the most influential factors for explaining economic and accounting profit using an artificial intelligence approach. There is no such internal research given the subject. The financial data of 127 companies from 2011 to 2019 was used to test the hypotheses. The findings indicate that the variables "profit quality," "profit stability," "profit predictability," "profit smoothing," "profit transparency," "close proximity to cash," "awareness," "conservatism," and "timeliness" have a significant relationship with economic and accounting profit. However, there is no meaningful relationship between economic profit and accounting profit and the variable "Profit relevance."