Univrsity Of Tehran Press Accounting and Auditing Review 2645-8020 16 4 2010 02 20 Pricing Initial Public Offerings: combining Artificial Neural Networks and Genetic Algorithm Pricing Initial Public Offerings: combining Artificial Neural Networks and Genetic Algorithm 20802 FA Mohamad Arab Mazar Mahsa Ghasemi Journal Article 1970 01 01 The article set out to create useful predicting tool for pricing initial public offerings through combining neural networks and genetic algorithm. The theoretical framework of this study is information asymmetry theory. Although the literature of pricing initial public offerings introduces variety of possible signals, a few of them have considerable effect on efficiency of predicting. The results show that combining neural networks and genetic algorithm in order to selecting the best variables improves considerably the forecasting power. The article set out to create useful predicting tool for pricing initial public offerings through combining neural networks and genetic algorithm. The theoretical framework of this study is information asymmetry theory. Although the literature of pricing initial public offerings introduces variety of possible signals, a few of them have considerable effect on efficiency of predicting. The results show that combining neural networks and genetic algorithm in order to selecting the best variables improves considerably the forecasting power. https://acctgrev.ut.ac.ir/article_20802_c629686c7b76c3fc31ae53367a85d191.pdf