Journal of Accounting and Investment
Vol 18, No 1: January 2017

Perbandingan Prediksi Financial Distress Menggunakan Model Altman, Grover dan Zmijewski

Gunawan, Barbara (Unknown)
Pamungkas, Rahadien (Unknown)
Susilawati, Desi (Unknown)



Article Info

Publish Date
05 Dec 2016

Abstract

This research aims to find predictors model of Financial Distress which are the most accurate in predicting the condition of Financial Distress at manufacturing companies. The populations/objects in this research are all of the manufacturing companies that listed on the Indonesia Stock Exchange (known as BEI) in 2014. In this research, the technique of sampling used is Purposive Sampling. The sample of this research totaled 110 manufacturing company. Total data in the research is 110 annual reports. Methods of analysis used were multiple linear regressions using SPSS program 15.00.The results showed that the Model Model Altman, Grover, and Model Zmijewski can be used to predict the condition of Financial Distress. Between these three models, model Zmijewski is the most accurate model to predict the condition of Financial Distress at manufacturing companies.

Copyrights © 2017






Journal Info

Abbrev

ai

Publisher

Subject

Economics, Econometrics & Finance

Description

JAI receives rigorous articles that have not been offered for publication elsewhere. JAI focuses on the issue related to accounting and investments that are relevant for the development of theory and practices of accounting in Indonesia and southeast asia especially. Therefore, JAI accepts the ...