Predicting financial distress of JSE-Listed companies using Bayesian networks
This study aims to test the suitability of using Bayesian probabilistic models to predict bankruptcy of JSE-listed companies. A sample of 132 companies is considered with fourteen years of financial statement information and macroeconomic indicators used as predictor variables. Various permutations...
Main Author: | Cassim, Ziyad |
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Other Authors: | Kruger, Ryan |
Format: | Dissertation |
Language: | English |
Published: |
University of Cape Town
2016
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Subjects: | |
Online Access: | http://hdl.handle.net/11427/20484 |
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