Corporate bankruptcy prediction model

Fitriyah Insani, G. Pontoh, Darwis Said
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引用次数: 1

Abstract

This study is a systematic literature review aimed at providing a comprehensive understanding of the use of various models such as Altman Z-Score, Springate, Zmijewski, Grover, Beneish, and Ohlson in the analysis of bankruptcy prediction for companies. The study details many research articles published in various academic journals and other reliable sources. Literature analysis involves identifying trends, common findings, as well as recent developments in the use of these models as bankruptcy prediction tools. This literature review indicates that despite significant advancements in the development of bankruptcy prediction models, challenges persist in applying these models universally across different contexts, particularly given contextual variations between industries and countries. The insights from this literature study are valuable for researchers, financial practitioners, and decision-makers in applying any models for bankruptcy prediction analysis. Furthermore, this literature review encourages further research in developing more sophisticated and timely bankruptcy prediction models.
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企业破产预测模型
本研究是一项系统的文献综述,旨在全面了解 Altman Z-Score、Springate、Zmijewski、Grover、Beneish 和 Ohlson 等各种模型在公司破产预测分析中的应用。本研究详细介绍了发表在各种学术期刊和其他可靠来源上的许多研究文章。文献分析包括确定使用这些模型作为破产预测工具的趋势、共同发现以及最新进展。文献综述表明,尽管在开发破产预测模型方面取得了重大进展,但在不同情况下普遍应用这些模型仍面临挑战,特别是考虑到行业和国家之间的环境差异。本文献研究的见解对研究人员、金融从业人员和决策者应用任何模型进行破产预测分析都很有价值。此外,本文献综述鼓励进一步研究开发更复杂、更及时的破产预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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