The purpose of this study is to investigate whether there are errors in information FIAs produce. Additionally, we examine whether faulty financial data may affect or even mislead decision making by using bankruptcy prediction model suggested by Altman¡¯s (1980) based on different data sources. We examined data inaccuracy for 10 variables of 648 publicly listed firms in Korea since 2011, when International Financial Reporting Standards(IFRS) has been enforced. Comparison between data stored in DataGuide, and data provided by TS2000 was quite surprising. 1194(5.88%) out of 20310 observation are revealed discrepancy, found a statistically significant difference in the 5 variables out of 10 variables. The Alman¡¯s model not only suggests different prediction of corporate bankruptcy but also produces different Z-score for different datasources.
Z score,Data Quality,Prediction of Corporate Bankruptcy,Z score
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