Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal International Journal of Quantitative Research and Modeling
Erifianto, Mochamad Kardofa
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Physics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Comparison of Altman Z-Score Model and Springate Model in Predicting Financial Distress: Case Study of FMCG Companies in Indonesia Dailami, Ahmad; Erifianto, Mochamad Kardofa
International Journal of Quantitative Research and Modeling Vol 5, No 4 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i4.822

Abstract

Financial distress is a serious threat to the sustainability of a company. This study aims to evaluate the ability of the Altman Z-Score model and the Springate model in predicting the possibility of financial distress in FMCG companies. By comparing the performance of the two methods, this study is expected to provide recommendations for the most appropriate method to use in monitoring the company's financial health. The results of this study have important implications for investors, creditors, and company management in making investment and risk management decisions.
Comparison of Altman Z-Score Model and Springate Model in Predicting Financial Distress: Case Study of FMCG Companies in Indonesia Dailami, Ahmad; Erifianto, Mochamad Kardofa
International Journal of Quantitative Research and Modeling Vol. 5 No. 4 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i4.822

Abstract

Financial distress is a serious threat to the sustainability of a company. This study aims to evaluate the ability of the Altman Z-Score model and the Springate model in predicting the possibility of financial distress in FMCG companies. By comparing the performance of the two methods, this study is expected to provide recommendations for the most appropriate method to use in monitoring the company's financial health. The results of this study have important implications for investors, creditors, and company management in making investment and risk management decisions.
Co-Authors Ahmad Dailami, Ahmad