Z-Cloud

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 Altman Z-score is a linear combination of four or five common business ratios, weighted by coefficients. The coefficients were estimated by identifying a set of firms which had declared bankruptcy and then collecting a matched sample of firms which had survived, with matching by industry and approximate size (assets).

Altman applied the statistical method of discriminant analysis to a dataset of publicly held manufacturers. The estimation was originally based on data from publicly held manufacturers, but has since been re-estimated based on other datasets for private manufacturing, non-manufacturing and service companies.

The Altman Z-score model was found to be approximately 80%-90% accurate in predicting bankrputcy one year before the event with a Type II error.

Z-Cloud for public corporations dynamically captures financial information required and calculates Z-score in a few seconds. Just enter the ticker and get the Z-score.',