The Accuracy of the Altman, Ohlson, Springate and Zmejewski Models in Bankruptcy Predicting Trade Sector Companies in Indonesia

Sri Elviani (Faculty of Economy, Accounting Study Program, Universitas Islam Sumatera Utara)
Ramadona Simbolon (Faculty of Economy, Accounting Study Program, Universitas Islam Sumatera Utara)
Zenni Riana (Faculty of Economy, Accounting Study Program, Universitas Islam Sumatera Utara)
Farida Khairani (Faculty of Economy, Accounting Study Program, Universitas Islam Sumatera Utara)
Sri Puspa Dewi (Faculty of Economy, Accounting Study Program, Universitas Al-Azhar)
Fauzi Fauzi (Faculty of Economy, Management Study Program, Universitas Islam Sumatera Utara)

Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences
Vol 3, No 1 (2020): Budapest International Research and Critics Institute February

Bankruptcy prediction models continue to develop both in terms of forms, models, formulas, and analysis systems. Various bankruptcy prediction studies currently conducted aim to find the most appropriate and accurate bankruptcy prediction model to be used in predicting bankruptcy. This study aims to determine the most appropriate and accurate model in predicting the bankruptcy of 53 trade sector companies in Indonesia. The analysis technique used in this study is binary logistic regression. The results of this study prove that the most appropriate and accurate model in predicting bankruptcy of trade sector companies in Indonesia is the Springate model and the Altman model