The accuracy of artificial neural networks and logit models in predicting the companies’ financial distress
Farida Titik Kristanti,
Vania Dhaniswara
Abstract:In the face of the global economic crisis and the resulting uncertainty, it is crucial for investors and management to predict a company's financial distress for decision-making. Therefore, the accuracy of a prediction tool is critical for company management when implementing steps to reduce the risk of failure during an economic crisis. By taking account of the company's financial ratios, this study intends to determine which the finest financial distress prediction model is for industrial sector companies in… Show more
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