Accounting
Hamidreza Hajeb; Mohammad Banafi
Abstract
The purpose of this study is to design a model to predict the efficiency of inventory management to help creditors and actual and potential investors and other stakeholders to avoid major losses in the capital market. For this reason, 137 companies listed on the Tehran Stock Exchange during the 10-years ...
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The purpose of this study is to design a model to predict the efficiency of inventory management to help creditors and actual and potential investors and other stakeholders to avoid major losses in the capital market. For this reason, 137 companies listed on the Tehran Stock Exchange during the 10-years period 2012-2021 were examined. In this study, the predicting variables of institutional ownership, managerial ownership, corporate ownership, ownership concentration, board size, percentage of non-executive board members, and duality of CEO (Chief Executive Officer) role have been used. The efficiency of inventory management was predicted using a three-layer perceptron artificial neural network with the Backpropagation of Error algorithm. Finally, a network with the mean squared error of 0.360, 0.428, 0.261 and 0.353, respectively for training data, validation, test and total data and a coefficient of determination of more than 72%, as the best network Selected.
Accounting
Hamidreza Hajeb; Mohammad Banafi; Javad Nejatpour
Abstract
The purpose of this study is to investigate the effect of corporate governance mechanisms on the relationship between related party transactions and audit fees. In this study, board size and duality role of CEO were selected as corporate governance mechanisms and their effect on the relationship between ...
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The purpose of this study is to investigate the effect of corporate governance mechanisms on the relationship between related party transactions and audit fees. In this study, board size and duality role of CEO were selected as corporate governance mechanisms and their effect on the relationship between related party transactions and audit fees among 93 companies listed on the Tehran Stock Exchange in the 10-year period of 2011-2020 were investigated. For this purpose, three hypotheses were formulated to investigate this issue and research regression models were tested using the panel data method with the fixed effects approach. The results showed that there is a positive and significant relationship between related party transactions and audit fees. The results also indicate that corporate governance mechanisms (board size, CEO duality) have a negative and significant effect on the relationship between related party transactions and audit fees. In fact, the results indicate that auditors are increasing their audit efforts (reflecting audit fees) to address the risk associated with related party transactions. It also minimizes conflicts of interest, opportunistic behaviors of managers and, consequently, the risk associated with related party transactions by applying appropriate regulatory mechanisms.
