THE ANALYSIS OF ALTMAN AND OHLSON MODEL IN PREDICTING DISTRESS OF INDIAN COMPANIES: A REVIEW
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 8, Pages 4158-4167
Abstract
Bankruptcy is that state of insolvency in which a company or an organization cannot discharge their financial obligation or are unable to meet the payments to their creditor. These bankruptcy prediction models include different financial ratios as independent variables and are developed using different econometric methods: multiple discriminant analysis, logistic regression, and probit regression, respectively. It is tested if one of the prediction models outperforms the others, which econometric method is best for developing the models, if the coefficients of the models are non-stationary, and what the optimal time horizon for predicting bankruptcy is. With time, however, advanced methods began to be introduced and new models included non-financial variables. Also, research on the selection of the samples was conducted.
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