International Journal For Multidisciplinary Research

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Predictive Analytics: A Review of Bankruptcy Prediction Models

Author(s) Guruansh singh, Rachit mahajan
Country India
Abstract This paper reviews some of the most accurate bankruptcy prediction models. Four bankruptcy prediction models have been examined deeply which are, The Altman Model (1968), The Ohlson Model(1980), The Zmijewski Model(1984) and The Springate Model (1978). The analysis of bankruptcy prediction is based on Methodology(formula) followed by accuracy and finally we have considered some drawbacks . From this particular paper one can easily get an overview and some factual information about the bankruptcy prediction models can be utilised in the suitable situation in the businesses . Overall this paper can make a financial firm implement these predictive models in order to ensure more precision and minimize the biasness
Keywords Altman, Ohlson , Zmijewski, Springate , Prediction, Bankruptcy.
Field Business Administration
Published In Volume 6, Issue 4, July-August 2024
Published On 2024-07-26
Cite This Predictive Analytics: A Review of Bankruptcy Prediction Models - Guruansh singh, Rachit mahajan - IJFMR Volume 6, Issue 4, July-August 2024. DOI 10.36948/ijfmr.2024.v06i04.24838
DOI https://doi.org/10.36948/ijfmr.2024.v06i04.24838
Short DOI https://doi.org/gt5hnd

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