Forecasting Municipal Financial Distress in South Africa: A Machine Learning Approach

Persistent fiscal stress in South African municipalities undermines service delivery, yet practical tools for early detection remain limited. This study predicts one-year-ahead municipal financial distress to support risk-based prioritisation. We develop machine learning models using a 2018/19–2022/...

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Autors principals:	Nkosinathi Emmanuel Radebe, Bomi Cyril Nomlala, Frank Ranganai Matenda
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-02-01
Col·lecció:	Forecasting
Matèries:	forecasting municipal finance financial distress early warning machine learning calibration
Accés en línia:	https://www.mdpi.com/2571-9394/8/1/18
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