Analysis of Bankruptcy Prediction Models in Determining Bankruptcy of Consumer Goods Companies in Indonesia
DOI:
https://doi.org/10.61841/dye6fx27Keywords:
Consumer Goods, Bankruptcy Prediction Models, Food and BeverageAbstract
– this study aimed at analyzing three different bankruptcy prediction models: the Altman model, the Grover model and the Zmijewski model in predicting bankruptcy in the public consumer goods: sub-sector food and beverage. the reseacher took data in the form of financial statements from the Indonesia Stock Exchange in 2015- 2018. there were 11 sample companies selected using the purposive sampling method. The research found that the Altman Z score model got an accuracy rate of 47.7% score against bankruptcy predictions ; whereas, the Grover G model and the Zmijewski X model got an accuracy rate of 100% score against bankruptcy predictions. In addition, the result of the analysis of ALTO and companies in the gray area position proved that the Altman Z score is also not feasible. Therefore, the study concluded the Grover G model and the Zmijewski Model are the most significant bankruptcy prediction models to use in predicting bankruptcy of public companies consumer goods: sub-sector food and beverage in Indonesia. It implied to the public companies consumer goods: sub-sector food and beverage in Indonesia in order to choose the appropriate bankruptcy prediction models to achieve the maximum accuracy.
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References
[1]. Altman, Edward I. 1968. Financial Ratio. Discriminant Analysis and the Prediction of Corporate Bankruptcy.
Journal of Finance. Vol. XXIII No. 4, pg. 589-609.
[2]. Anjum, Sanobar. 2012. Business Bankruptcy Prediction Models: A significant study of the Altman’s Zscore Model. Asian Journal of Management Research 3(1). Rayalaseema University
[3]. Elmabrok, Ali Abusalah., Mohammed and Ng KimSoon. 2012. Using Altman's Model and Current Ratio to Assess the Financial Status of Companies Quoted In the Malaysian Stock Exchange. International Journal of Scientific and Research Publications, 2(7). Faculty of Technology Management, Business and Entrepreneurship, Universiti Tun Hussein Onn Malaysia
[4]. Ghosh, Partha. 2013. Testing of Altman’s Z Score Model, a Case Study of Dunlop India Ltd. Paripex Indian. Journal Of Research 3(4). Faculty, Department of Business Administration, George College of Management and Science, Kolkata
[5]. Hayes, Suzanne K. Kay A. Hodge and Larry W. Hughes. 2010. A Study of the Efficacy of Altman’s Z To Predict Bankruptcy of Specialty Retail Firms Doing Business in Contemporary Times. Economics & Business Journal: Inquiries & Perspectives 3(1).University of Nebraska at Kearney and Central Washington University.
[6].https://poskota.co.id/2018/10/30/teh-sariwangi-pailit-tidak-pengaruhi-produksi-makanan-dan-minuman/ [7].https://www.cnbcindonesia.com/market/20190515103904-17-72572/anak-usaha-tiga-pilar-pailit-bei-soroti-
nasib-emiten [8].https://id.wikipedia.org/wiki/Nyonya_Meneer_(perusahaan)
[9]. J.Godfrey. (2010). Accounting Theory: Chapter 13 Behavioral Accounting Research, (7th. ed). Australia Ltd 42 McDougall Street: Willey
[10]. June Li. 2012. Prediction of Corporate Bankruptcy from 2008 Through 2011. Journal of Accounting and Finance 12(1).University of Wisconsin, River, Falls,
[11]. Nidhi, Arora and Jatinderkumar R. Saini. 2013. Time Series Model for Bankruptcy Prediction via Adaptive Neuro-Fuzzy Inference System. International Journal of Hybrid Information Technology. 6(2). India.
[12]. Odipo M.K. and Sitati, A.2010. Evaluation Of Applicability Of Altman’s Revised Model in Prediction Of Financial Distress: A Case Of Companies Quoted in The Nairobi Stock Exchange. Journal of Business Failure Prediction
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