LOG IN⠴ݱâ

  • ȸ¿ø´ÔÀÇ ¾ÆÀ̵ð¿Í Æнº¿öµå¸¦ ÀÔ·ÂÇØ ÁÖ¼¼¿ä.
  • ȸ¿øÀÌ ¾Æ´Ï½Ã¸é ¾Æ·¡ [ȸ¿ø°¡ÀÔ]À» ´­·¯ ȸ¿ø°¡ÀÔÀ» ÇØÁֽñ⠹ٶø´Ï´Ù.

¾ÆÀ̵ð ÀúÀå

   

¾ÆÀ̵ð Áߺ¹°Ë»ç⠴ݱâ

HONGGIDONG ˼
»ç¿ë °¡´ÉÇÑ È¸¿ø ¾ÆÀ̵ð ÀÔ´Ï´Ù.

E-mail Áߺ¹È®ÀÎ⠴ݱâ

honggildong@naver.com ˼
»ç¿ë °¡´ÉÇÑ E-mail ÁÖ¼Ò ÀÔ´Ï´Ù.

¿ìÆí¹øÈ£ °Ë»ö⠴ݱâ

°Ë»ö

SEARCH⠴ݱâ

ºñ¹Ð¹øÈ£ ã±â

¾ÆÀ̵ð

¼º¸í

E-mail

ÇмúÀÚ·á °Ë»ö

Altman's Z-score and Option-based Approach for Credit Risk Measure(Bankruptcy Prediction : Book value or Market Value?)

  • BUM J. KIM Department of Finance Hallym University Chuncheon, Kangwon, Korea
Managers, stockholders, lenders and employees concern about their firm¡¯s financial condition. This shared interest creates continual inquiries and recurrent attempt to answer the incessant question about how we predict financial distress or what reveals the credit risk of firms. Despite numerous attempts for bankruptcy prediction and their application over three decades after Altman (1968)¡¯s seminal study, financial distress prediction research has not seemed to reach an unequivocal conclusion. We investigated our postulations concerning Altman¡¯s Z-score and the option-based measure based on arguments that the Z-score should lose its significance since its introduction due to some reasons. Based on our results, we learned that Altman¡¯s Z-score loses its significance as a bankruptcy prediction measure due to two possible grounds; it loses its prediction power for long-term prediction and it was not significance for recent years¡¯ data. In addition, we found that the option-based measure does provide significant results as a prediction measure for later years. We believe that the reduction of prediction time span of Z-score and better performance of the option-based measure implies that the more efficient market shortens the information transition time in the market so that bankruptcy prediction should be based on immediate and continuously changing information about the event and discrete or sporadic variables would mislay the interpretation of information concerning bankruptcy.

  • BUM J. KIM
Managers, stockholders, lenders and employees concern about their firm¡¯s financial condition. This shared interest creates continual inquiries and recurrent attempt to answer the incessant question about how we predict financial distress or what reveals the credit risk of firms. Despite numerous attempts for bankruptcy prediction and their application over three decades after Altman (1968)¡¯s seminal study, financial distress prediction research has not seemed to reach an unequivocal conclusion. We investigated our postulations concerning Altman¡¯s Z-score and the option-based measure based on arguments that the Z-score should lose its significance since its introduction due to some reasons. Based on our results, we learned that Altman¡¯s Z-score loses its significance as a bankruptcy prediction measure due to two possible grounds; it loses its prediction power for long-term prediction and it was not significance for recent years¡¯ data. In addition, we found that the option-based measure does provide significant results as a prediction measure for later years. We believe that the reduction of prediction time span of Z-score and better performance of the option-based measure implies that the more efficient market shortens the information transition time in the market so that bankruptcy prediction should be based on immediate and continuously changing information about the event and discrete or sporadic variables would mislay the interpretation of information concerning bankruptcy.
Credit Risk Measure,Z-Score,Option,Default Prediction