Logit Regression Based Bankruptcy Prediction of Korean Firms
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Chulwoo Han
Abstract
In this article, we develop a bankruptcy prediction model for Korean firms that utilize logit regression. We find that not only financial accounting ratios but equity market inputs and macro-economic variables are also important predictors of bankruptcy. However, unlike the findings of Campbell et al. (2008), using market value of equity in computing total assets did not improve the model. We compare the model with a Merton-type structural model and find that our model demonstrates a higher prediction power in distinguishing distressed firms from healthy firms. Though our model proves to perform better, we are careful to make a conclusion and rather suggest using several models for the purpose of risk management to reduce model risk.
©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
Articles in the same Issue
- Featured Article
- Statistical Review of Nuclear Power Accidents
- Logit Regression Based Bankruptcy Prediction of Korean Firms
- Efficiency and Productivity of Indian Life Insurance Industry
- Projecting the Cost of Long-Term Care Insurance in Korea
- Survival Analysis of Left Truncated Income Protection Insurance Data
- Health Care Insurance Pricing Using Alternating Renewal Processes
Articles in the same Issue
- Featured Article
- Statistical Review of Nuclear Power Accidents
- Logit Regression Based Bankruptcy Prediction of Korean Firms
- Efficiency and Productivity of Indian Life Insurance Industry
- Projecting the Cost of Long-Term Care Insurance in Korea
- Survival Analysis of Left Truncated Income Protection Insurance Data
- Health Care Insurance Pricing Using Alternating Renewal Processes
