The Z-Score — most commonly referring to the Altman Z-Score, developed by Professor Edward Altman in 1968 — is a quantitative financial model that uses a weighted combination of five financial ratios (working capital/total assets, retained earnings/total assets, EBIT/total assets, market value of equity/book value of total liabilities, and sales/total assets) to produce a single score that predicts the probability of a company entering financial distress or bankruptcy within the next two years. A Z-Score above 2.99 indicates a 'safe zone,' between 1.81 and 2.99 is a 'grey zone' requiring caution, and below 1.81 signals a high risk of financial distress. While the original model was calibrated for US manufacturing firms, adapted versions exist for non-manufacturing companies and emerging markets. In statistics, a Z-Score also refers to the number of standard deviations a data point lies from the mean of a distribution. For equity analysts and investors on Ventura Securities, the Altman Z-Score is a useful early warning screening tool for identifying financially stressed companies — particularly relevant when evaluating highly leveraged businesses in cyclical sectors or companies with deteriorating cash flow profiles.
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