Financial analysis of Turkey automotive industry with self organising maps

Nowadays, Companies have a lot of financial transactions due to their structure which they have. The basic problem within the scope of financial analysis workings is to make effective investment decisions, to evaluate companies? credibilities and to predict future financial condition. For that purpose, by using financial ratios which have been acquired from balance sheets and income statements of six companies which operates on İMKB and Automotive Industry, these companies financial performance have been evaluated. By using company indicators and macro indicators, the hidden relation particules which effect companies? export rate and financial performance have been tried find out. Self organising maps algorithm which is the important working area of artifical neural networks has been used to analyze datas. In order to work the algorithm, a software has been developed with Delphi 7.0 programming language and in order to validate the software and concept model, Matlab 2008?s ?Som Toolbox ? component has been used. According to analysing?s fundings, the suggestions has been made to investors, creditors and employers.