Home  /  Etikonomi  /  Vol: 17 Núm: 1 Par: 0 (2018)  /  Article
ARTICLE
TITLE

Bankruptcy Prediction Models and Stock Prices of the Coal Mining Industry in Indonesia

SUMMARY

Various bankruptcy prediction models have been used to measure the movement of stock prices, and thus the firms’ performance. This study is aimed at empirically exploring the usefulness of the Olhson, Almant Modification, Grover, Springate, and Zmijewski models for predicting bankruptcy of the 19 coal mining companies. It also attempts to measure the effects of the scores of these bankruptcy prediction models on the stock prices of the coal mining companies in Indonesia.  The technique of analysis that used in this research is panel regression. The results of the study showed that the bankruptcy prediction scores of the Ohlson and Almant Modification were found to be the dominant prediction models that affected the stock prices of the coal companies in Indonesia. This indicates that the bankruptcy prediction model can be used as one of the approaches to measure the movement of stock prices and performance of the coal mining companies in Indonesia.DOI: 10.15408/etk.v17i1.6559

 Articles related

Fahmi Mauludin,Nor Norisanti,Erry Sunarya    

This study aims to measure the effect of bankruptcy predictions on the stock price and earning per share as an intervening variable. The object used is PT. Bank Mandiri (Persero) Tbk. and data used is secondary data containing the company's monthly finan... see more

Revista: KINERJA

Elena Makeeva, Maria Sinilshchikova    

This study is aimed at investigating the application of news sentiment analysis to bankruptcy prediction models in the context of the Russian retail sector.We analyse 190 companies: 95 Russian retail companies that went bankrupt in 2015-2019, and 95 non-... see more


Alexander Grigoriev, Konstantin Tarasov    

A huge number of articles and papers are devoted to the study of bankruptcy prediction problems. In attempting to solve the problem of predictive ability, many difficulties arise due to the processing of data and the necessity of choosing between appropr... see more


Daniel BRÎNDESCU-OLARIU, Ionut GOLET    

The purpose of this paper is to evaluate the potential of financial ratio analysis performed by employing public data on predicting bankruptcy during the economic crisis period. The population subjected to our study was composed of the 26,980 Romanian co... see more


Judy Ramage Lawrence, Surapol Pongsatat, Howard Lawrence    

Business failure is a major concern to all parties involved and can create high costs and heavy losses.  If bankruptcy can be predicted with reasonable accuracy ahead of time, firms can better protect their businesses and can take action to minimize... see more