Revisiting bankruptcy prediction: A review on the application of econometric methodologies in forecasting financial distress

Date of Publication

2009

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Management of Financial Institutions

College

Ramon V. Del Rosario College of Business

Department/Unit

Financial Management

Thesis Adviser

Andrew Adrian Y. Pua

Defense Panel Member

Miguel Roberto V. Borromeo
Alfredo M. Santoyo

Abstract/Summary

Several studies have suggested their own methodologies of forecasting bankruptcy or financial distress, however, the researchers of this paper believe that significant concerns (e.g. functional form of the model, industry choice) have to be addressed beforehand in order to avoid committing the same mistakes (e.g. misspecification, biased sample) previous studies have done. Hence, studies relevant to the prediction of bankruptcy were analyzed and criticized, which ultimately resulted to the accumulation of the best practices when it comes to determining the probability that a firm will reach failure, may it be using discriminant analysis, logit or other statistical models. Although, such recommendations are not guaranteed to produce a flawless bankruptcy model, rather, these were formulated as aid in lessening and maximizing the predictive errors and ability, respectively, of the chosen model.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU14816

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

73 leaves ; 28 cm.

Keywords

Bankruptcy--Philippines; Bankruptcy--Forecasting; Risk management"

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