September 12, 2025Formosa Journal of Applied Sciences

Predictive Analysis of Financial Distress Using the Altman Z-Score Method on Companies in the Trade, Service & Investment Sector Listed on the Indonesia Stock Exchange in 2019-2023

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Authors

YNYuliani Nurhayati EKEsi Fitriani KomaraUniversitas Jenderal Achmad Yani

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Implication

Quantitative analysis shows the Altman Z-Score predicts financial distress in Indonesia's trade and investment sector, suggesting improvements are needed.

Key Points

The Altman Z-Score can predict financial distress effectively, but its accuracy may be limited in complex market scenarios.
Accuracy of the Altman Z-Score prediction was examined using binary logistic regression on financial statements from 15 companies.
The study employed a quantitative approach focusing on the Trade, Service & Investment sector on the Indonesia Stock Exchange.
These findings highlight the necessity for ongoing financial evaluations to enhance predictive models in dynamic conditions.

Cite This Study

Nurhayati et al. (2025) studied this question.

synapsesocial.com/papers/68d418e1713b0b5dfea64be4 https://doi.org/10.55927/fjas.v4i8.299

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Implication

Quantitative analysis shows the Altman Z-Score predicts financial distress in Indonesia's trade and investment sector, suggesting improvements are needed.

Predictive Analysis of Financial Distress Using the Altman Z-Score Method on Companies in the Trade, Service & Investment Sector Listed on the Indonesia Stock Exchange in 2019-2023

Discussion

Member takes

Implication

Key Points

Cite This Study

Predictive Analysis of Financial Distress Using the Altman Z-Score Method on Companies in the Trade, Service & Investment Sector Listed on the Indonesia Stock Exchange in 2019-2023

Discussion

Member takes

Implication

Key Points

Cite This Study

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