Predicting selected Philippine rural bank failure using logistic approach: A projection model

Date of Publication

2017

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Management of Financial Institutions

Subject Categories

Finance and Financial Management

College

Ramon V. Del Rosario College of Business

Department/Unit

Financial Management

Thesis Adviser

Dexter Ginete

Defense Panel Member

Robert Dan Roces

Junette Perez

Liberty Patiu

Patricia Benito

Santoyo, Alfredo, member

Abstract/Summary

Recently, there has been a significant number of rural banks that have failed which is alarming because of the possible adverse effects it can bring to the agricultural community and the banking system. Financial ratios and their review has been popularly used as a way to predict bankruptcy by various authors and researchers. In particular, the researchers used logistic regression first used by Ohlson, to come up with a prediction model. The researchers were able to determine six significant ratios among the eleven that were used in the study. The researchers also conducted an interview of officers of the Bangko Sentral ng Pilipinas and the Philippine Deposit Insurance Corporation as part of their data collection method and supplement to the statistical analysis.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU19954

Shelf Location

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

Physical Description

1 volume (various foliations) : illustrations (some color) ; 28 cm. + 1 computer disc ; 4 3/4 in.

Keywords

Banks and banking--Philippines; Bank failures-- Philippines; Bankruptcy--Philippines

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