PREDICTION OF FINANCIAL DISTRESS MODELS OF THE CHEMICAL INDUSTRY COMPANIES

Financial failure to predict the future of the company on decision-making and investment, finance, marketing, management and represents great significance in the regulation of production. The aim of this study is traded on the Istanbul Stock Exchange chemicals sector firms obtained by movement of financial data variables (ratios) Regression is to develop financial failure prediction models using methods such as discriminant and logit. The data used in the study of companies operating in the chemical industry, according to the 2010-14 fiscal year financial failure models obtained from was obtained from the financial statements work in conclude that accurate estimates of over 80% in each of the four models and the close proximity of the results, but the most successful prediction model of the logit model (89.1%) can be expressed as. In addition, the prerequisite not need some other parametric tests using the logit model and a high proportion of the companies operating in the chemical industry because it has the ability to detect the correct classification of financial success can be recommended