The role of the altman model in the scoring model for assessing the creditworthiness of businesses in free economic zones jasur Umirzokov

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Jasur Umirzokov TIF
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Jasur Umirzokov, Tashkent Institute of Finance
Altman’s Z-Score model is a numerical measurement that is used to predict the chances of a business going bankrupt in the next two years. The model was developed by American finance professor Edward Altman in 1968 as a measure of the financial stability of companies. The Z-score formula for predicting bankruptcy was published in 1968 by Edward I. Altman, who was, at the time, an Assistant Professor of Finance at New York University. The formula may be used to predict the probability that a firm will go into bankruptcy within two years. Z-scores are used to predict corporate defaults and an easy-to-calculate control measure for the financial distress status of companies in academic studies. The Z-score uses multiple corporate income and balance sheet values to measure the financial health of a company.

The Z-score model was introduced as a way of predicting the probability that a company would collapse in the next two years. The model proved to be an accurate method for predicting bankruptcy on several occasions. According to studies, the model showed an accuracy of 72% in predicting bankruptcy two years before it occurred, and it returned a false positive of 6%. The false-positive level was lower compared to the 15% to 20% false-positive returned when the model was used to predict bankruptcy one year before it occurred. 1

The Z-score model is based on five key financial ratios, and it relies on the information contained in the 10-K report. It increases the model’s accuracy when measuring the financial health of a company and its probability of going bankrupt.

The Altman’s Z-score formula is written as follows:2
​ζ = 1.2A + 1.4B + 3.3C + 0.6D + 1.0E3

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