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Analysis of safety inventory decision is of great significance to effectively reduce the inventory cost and fund occupancy rate, and to ensure timely material supply of power grid, while analysis of safety inventory decision of power companies is based on material consumption forecasting data. As the industry particularity of power company material consumption, the existing problems of data are not...
Financial distress prediction is of great importance to all stakeholders in order to enable better decision-making in evaluating firms. In recent years, the rate of bankruptcy has risen and it is becoming harder to estimate as companies become more complex and the asymmetric information between banks and firms increases. Although a great variety of techniques have been applied along the years, no...
Nowadays, information disclosure is a noticeable topic to both practice and academy since it has significant effect on corporate governance and capital market operation. Open and transparent information disclosure can reduce the information asymmetry between insiders and outsiders. The main purpose of this study is to construct an information transparency evaluation model. In this paper, we used the...
In the analysis of predicting financial distress based on support vector machine (SVM), irrelevant or correlated features in the samples could spoil the performance of the SVM classifier, leading to decrease of prediction accuracy. On the other hand, the improper determining of two SVM parameters will cause either over-fitting or under-fitting of a SVM model. In order to solve the problems mentioned...
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