A Novel Hybrid Model for Loan Allocation in Banking Investment Projects (Case Study: Bank Toseeye Taavon)

Abstract

<span style="font-family: 'Times New Roman','serif'; font-size: 11pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: FA;">In this paper, a new hybrid model has been proposed<br />for the loans allocation of banking investment projects. In this model, firstly<br />uncertainty in the cash flows parameters of projects is simulated using<br />probability distributions. The statistical analysis about the indexes of<br />engineering economic is used for the elimination of non-economical projects.<br />Secondly, remained projects are ranked based on financial and non-financial<br />indexes and AHP-TOPSIS approaches. Finally, a 0-1 mathematical programming is<br />used for loans allocation to projects based on ranking of projects (as projects<br />utilities) and the constraints of banking investment. To consider the<br />performance of the proposed model, the investment projects of bank Toseeye<br />Taavon in a specified time interval are evaluated using this model. The results<br />of allocations are shown the validity and efficiency of proposed model based on<br />the opinions of banking experts.</span>