Assessing financial distress predictability among publicly listed non-financial firms in the Philippines: Utilizing five traditional predictive models

• Main Authors: Damgo, Diomyka C., Pascual, Leona Cynthia M., San Juan, Aila Jane, Vitug, Alyssa Mari F., Cuartero, Rene D.
• Format: text
• Published: Animo Repository 2019
• Subjects: Corporations—Philippines—Finance; Finance and Financial Management
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/9464
• Institution: De La Salle University

Financial distress predictive models have been established and developed throughout the years as they often play a crucial part in the investing public’s decision-making. Previous researches have tested the predictability of these models using both financial and market data of publicly-listed compan...