The objective of this paper is to find a model to predict bankruptcy of firms listed on the Stock
Exchange of Thailand (SET) by using a secondary data approach. Using five ratios and applying logistic
regression approach, the CAMEL model was then created. The results show the model could be used as
a predictor; however, the degree of accuracy may vary with different time, situations and environments.