Credit risk assessment of agricultural enterprises in the Republic of Serbia: Logistic regression vs discriminant analysis

Credit risk assessment of agricultural enterprises in the Republic Serbia was analyzed this research by applying discriminant analysis and logistic regressions. The aim is to determine financial indicators which analysts consider when analyzing a loan application that have most influence on decision approve or reject application. internal determinants credit are analyzed, i.e., leverage, profitability, liquidity, solvency, stability effectiveness. models gave different results significance observed indicators. stood out as significant both only profitability solvency. model has successfully classified rate 81.0%, while regression classifies 89.8%. In modeling Serbia, gives better results.