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- W2532938493 abstract "Since correct prediction of bankruptcy prediction of a company is very important for investors, lenders and managers, most efforts have been done to improve the predictive capability of corporate bankruptcy prediction models. Most previous studies use corporate financial statement to do bankruptcy prediction. However, corporate performance is always affected by macroeconomic conditions. This study explores the effect of macroeconomic variables on improving the predictive accuracy of corporate bankruptcy prediction with neural networks models. The experiments based on data from USA firms shows that neural networks models incorporating macroeconomic variables can made slight improvement on predictive accuracy with comparison to models without the macroeconomic information. Keywords-bankruptcy prediction; macroeconomic variables; neural networks" @default.
- W2532938493 created "2016-10-28" @default.
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- W2532938493 date "2010-11-01" @default.
- W2532938493 modified "2023-10-16" @default.
- W2532938493 title "Bankruptcy Prediction Incorporating Macroeconomic Variables Using Neural Network" @default.
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- W2532938493 doi "https://doi.org/10.1109/taai.2010.24" @default.
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