Between Domestic and Commonly Known Bankruptcy Prediction Models, How Differ It Can Be?

Risk Management become such an important study after 2008 Financial Crisis. As such the needs of research and improvement of Bankruptcy Prediction Models as risk assessment tool is a must. This paper will help the current and upcoming research in related fields in choosing best and suited variables...

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Main Author: Muhamad Fiqri Aripin
Format: Article
Language:Indonesian
Published: Pancasakti University of Tegal 2024-08-01
Series:Jurnal Ilmu Pemerintahan
Subjects:
Online Access:https://www.governmentjournal.org/index.php/jip/article/view/323
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author Muhamad Fiqri Aripin
author_facet Muhamad Fiqri Aripin
author_sort Muhamad Fiqri Aripin
collection DOAJ
description Risk Management become such an important study after 2008 Financial Crisis. As such the needs of research and improvement of Bankruptcy Prediction Models as risk assessment tool is a must. This paper will help the current and upcoming research in related fields in choosing best and suited variables and methodologies that can help revaluation and improvement bankruptcy prediction studies. This a quantitave research by using comparative associative model with non-parametric inferential analysis. To achieve the goal, this study involved four bankruptcy prediction models which two of them are commonly known models (Springate and Zmijewski) and another two are locally made by using data of Indonesia’s. The result from data analysis of 1,860 samples shows that the locally made bankruptcy prediction model or more correctly the Herlina’s Model came as the best performed model because by using suited data for certain economic and financial climate, bankruptcy prediction model can achieve a better result than commonly known models.
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publisher Pancasakti University of Tegal
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spelling doaj-art-9133d23f789b4e8082eece588e2f17e22025-08-20T02:27:42ZindPancasakti University of TegalJurnal Ilmu Pemerintahan2503-46852528-07242024-08-0192789210.24905/jip.9.2.2024.78-92323Between Domestic and Commonly Known Bankruptcy Prediction Models, How Differ It Can Be?Muhamad Fiqri AripinRisk Management become such an important study after 2008 Financial Crisis. As such the needs of research and improvement of Bankruptcy Prediction Models as risk assessment tool is a must. This paper will help the current and upcoming research in related fields in choosing best and suited variables and methodologies that can help revaluation and improvement bankruptcy prediction studies. This a quantitave research by using comparative associative model with non-parametric inferential analysis. To achieve the goal, this study involved four bankruptcy prediction models which two of them are commonly known models (Springate and Zmijewski) and another two are locally made by using data of Indonesia’s. The result from data analysis of 1,860 samples shows that the locally made bankruptcy prediction model or more correctly the Herlina’s Model came as the best performed model because by using suited data for certain economic and financial climate, bankruptcy prediction model can achieve a better result than commonly known models.https://www.governmentjournal.org/index.php/jip/article/view/323bankruptcyfinancial distressforecasting
spellingShingle Muhamad Fiqri Aripin
Between Domestic and Commonly Known Bankruptcy Prediction Models, How Differ It Can Be?
Jurnal Ilmu Pemerintahan
bankruptcy
financial distress
forecasting
title Between Domestic and Commonly Known Bankruptcy Prediction Models, How Differ It Can Be?
title_full Between Domestic and Commonly Known Bankruptcy Prediction Models, How Differ It Can Be?
title_fullStr Between Domestic and Commonly Known Bankruptcy Prediction Models, How Differ It Can Be?
title_full_unstemmed Between Domestic and Commonly Known Bankruptcy Prediction Models, How Differ It Can Be?
title_short Between Domestic and Commonly Known Bankruptcy Prediction Models, How Differ It Can Be?
title_sort between domestic and commonly known bankruptcy prediction models how differ it can be
topic bankruptcy
financial distress
forecasting
url https://www.governmentjournal.org/index.php/jip/article/view/323
work_keys_str_mv AT muhamadfiqriaripin betweendomesticandcommonlyknownbankruptcypredictionmodelshowdifferitcanbe