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- W2023009100 abstract "Bankruptcy of firms in Korea can cause distress of financial institutions because these institutions have disterssed bond. Accordingly, social and economical spill-over effects by these results are very big. Even after the difficult times of IMF crisis had ended, bankruptcy of information-based small-medium companies and venture firms listed on the KOSDAQ has been continued. In this context, this study developed and adopted failure prediction models for which discriminant analysis was used. Samples of this study was 81 firms respectively for both failed and non-failed firms listed on the KOSDAQ between the year of 2000 and 2007. The results of this study are as follows. First, the accuracy of classification of the model by years was , and the accuracy of classification of the mean model was . Among the models, the mean model of -one year, -two years, and -three years was highest in accuracy of classification (80.4%). Second, accuracy of prediction of final model adopted on validation samples showed 85% before one year of bankruptcy. The results of this study may be significant in that the results may be used as early warning system for bankruptcy prediction of KOSDAQ firms." @default.
- W2023009100 created "2016-06-24" @default.
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- W2023009100 date "2009-03-31" @default.
- W2023009100 modified "2023-10-18" @default.
- W2023009100 title "An Empirical Study on the Failure Prediction for KOSDAQ Firms" @default.
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- W2023009100 doi "https://doi.org/10.5762/kais.2009.10.3.670" @default.
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