Assessment of the expected construction company’s net profit using neural network and multiple regression models

(in lingua inglese)

Through this paper an attempt was made to develop NNM and MRM models which can be effectively used to predict the construction companies’ net profit. A comprehensive literature review was made to identify the most important factors affecting construction companies’ net profit. Twenty-three factors were identified as the most significant factors affecting the construction companies’ net profit. Financial statements for 164 Egyptian construction companies were analyzed and data regarding the 23 significant factors were extracting.