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Applying Fuzzy C-Means and Artificial Neural Networks for Analyzing the Non-Banking Financial Institutions’ Sector in Romania
Keywords
non-banking financial institutions, performance evaluation, neural networks, class prediction
Abstract
In this paper we apply a neural approach to develop classification models in order to assess the performance of non-banking financial institutions (NFIs) in Romania. Our objective is twofold: to empirically validate our methodology and understand how different financial factors can and do contribute to the NFIs’ movements from one performance class to another.
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