Research Article

Adapting Altman Z-score models for early warning signals: Evidence from delisted mining stocks on the Johannesburg Stock Exchange

DOI: 10.1080/10293523.2024.2397892
Author(s): Nigel Matanga University of Cape Town, South Africa, Glen Holman University of Cape Town, South Africa,

Abstract

The aim of the study is to measure the predictive prowess of adapting the Altman’s Z-score models when used to predict financial health and subsequent delisting of mining companies listed on the Johannesburg Stock Exchange between 1994 and 2021. The study applied Altman’s Z-score models to the financials of listed mining companies to measure the adaptability of the model for predicting the financial health status of mining companies and subsequent delisting in 1-, 2- and 3-years’ time against the actual listing status of each company in the sample over corresponding time horizons. Key findings indicate that both models reliably predict delisting when the horizon is only a year in the future.

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