Dublin Core
Title
FINANCIAL DISTRESS PREDICTIONS RETAIL COMPANY
Subject
FINANCIAL DISTRESS
Description
Ohlson's model is the suitable model to detect financial distress; accuracy in
choosing a model will be helpful for companies and investors to predict the
condition of a company in the future. Ohlson's model is a bankruptcy prediction model that developed multiple logistic regression model invented by James Ohlson in 1980. The purpose of this study is to predict financial distress in retail companies in Indonesia in the period 2015-2017 using the
Ohlson model (O-Score) and to know its accuracy level. The type of data used is secondary data obtained from www.idx.id. This study explains that the results of the Ohlson model can predict financial distress in retail companies in Indonesia in the period 2015-2017 with an accuracy rate of 96.67%.
choosing a model will be helpful for companies and investors to predict the
condition of a company in the future. Ohlson's model is a bankruptcy prediction model that developed multiple logistic regression model invented by James Ohlson in 1980. The purpose of this study is to predict financial distress in retail companies in Indonesia in the period 2015-2017 using the
Ohlson model (O-Score) and to know its accuracy level. The type of data used is secondary data obtained from www.idx.id. This study explains that the results of the Ohlson model can predict financial distress in retail companies in Indonesia in the period 2015-2017 with an accuracy rate of 96.67%.
Creator
SAWAL SARTONO, SE, M.M.
Publisher
Proceeding International Conference on Economic,
Management, and Accounting (ICOEMA)-2021
Management, and Accounting (ICOEMA)-2021
Language
ENGLISH
Type
TEXT