Date of Publication
7-15-2023
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Management of Financial Institutions
Subject Categories
Finance and Financial Management | Other Business
College
Ramon V. Del Rosario College of Business
Department/Unit
Financial Management Department
Thesis Advisor
Liberty S. Patiu
Defense Panel Chair
Benedict R. Bismark
Defense Panel Member
Pol Anthony M. Cabrera
Hannibal George A. Marchan
Abstract/Summary
This study aimed to assess the accuracy of utilizing financial ratios in models such as the comparative ratio analysis, emerging market score model, and logistic regression models for predicting financial distress among private food manufacturing companies in the Philippines during the year 2014-2019. The findings of the study indicated that all three research methodologies achieved acceptable prediction accuracy rates above the 50% cut-off threshold. This suggests that financial ratios can effectively gauge early signs of financial distress. Additionally, the study provides insights for practitioners in using the same analytical process to assess financial risk. While limitations exist, this research bridges theoretical concepts with practical applications, contributing to the understanding of financial distress prediction in the food manufacturing industry.
Abstract Format
html
Language
English
Format
Electronic
Keywords
Ratio analysis—Philippines; Food industry and trade—Philippines—Finance
Recommended Citation
Chen, S. G., Cheng, J. C., Javier, L. C., & Ong, J. F. (2023). Utilization of financial ratios in selected financial models to predict financial distress among food manufacturing companies in the Philippines. Retrieved from https://animorepository.dlsu.edu.ph/etdb_finman/70
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Embargo Period
8-7-2023
