The corporate failure prediction capabilities of private non-manufacturing companies
نویسندگان
چکیده
منابع مشابه
Enhancing Technological Innovation Capabilities: The Role of Human Capital in Iranian Sports Manufacturing Companies
Background. To effectively response to environmental changes and gain a competitive advantage, sports manufacturing companies should invest in human capital. Objectives. The study aimed at examining the effects of human capital on technological innovation capabilities in Iranian sports manufacturing companies. Methods. Conducted applied research and the survey. Data were collected using stand...
متن کاملGrammatical Evolution And Corporate Failure Prediction
This study examines the potential of Grammatical Evolution to uncover a series of useful rules which can assist in predicting corporate failure using information drawn from financial statements. A sample of 178 publically quoted, failed and non-failed US firms, drawn from the period 1991 to 2000 are used to train and test the model. The preliminary findings indicate that the methodology has muc...
متن کاملA data mining approach to the prediction of corporate failure
This paper uses a data mining approach to the prediction of corporate failure. Initially, we use four single classi®ers Ð discriminant analysis, logistic regression, neural networks and C5.0 Ð each based on two feature selection methods for predicting corporate failure. Of the two feature selection methods Ð human judgement based on ®nancial theory and ANOVA statistical method Ð we found the AN...
متن کاملA hybrid genetic model for the prediction of corporate failure
This study examines the potential of a neural network (NN) model, whose inputs and structure are automatically selected by means of a genetic algorithm (GA), for the prediction of corporate failure using information drawn from financial statements. The results of this model are compared with those of a linear discriminant analysis (LDA) model. Data from a matched sample of 178 publicly quoted, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Technology audit and production reserves
سال: 2016
ISSN: 2312-8372,2226-3780
DOI: 10.15587/2312-8372.2016.81483