What is it about?
This paper amis to elaborate the usage of machine learning for financial solvency prediction. Financial health of a corporation is a great concern for every investor level and decision-makers. For many years, financial solvency prediction is a significant issue throughout academia, precisely in finance. This requirement leads this study to check whether machine learning can be implemented in financial solvency prediction.
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Why is it important?
This study found that, with the best of author expertise, the author did not find any studies regarding machine learning research of financial solvency that examines a comparable number of a dataset, with all these models in Bangladesh.
Perspectives
The major result of this study can be implicated to the financial institution for credit scoring, credit rating and loan classification, etc. And other companies can implement machine learning models to their enterprise resource planning software to trace their financial solvency.
Md. Abdullah
Universiti Sultan Zainal Abidin
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This page is a summary of: The implication of machine learning for financial solvency prediction: an empirical analysis on public listed companies of Bangladesh, Journal of Asian Business and Economic Studies, June 2021, Emerald,
DOI: 10.1108/jabes-11-2020-0128.
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