Analisis Penerapan Metode Altman, Zmijewski, Ohlson dan Fulmer untuk Memprediksi Financial Distress pada Manufaktur yang Terdaftar di Bursa Efek Indonesia Tahun 2020
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Institusion
Universitas Katolik Darma Cendika
Author
Marthianus, Yessica Carolina
Subject
HF5601 Accounting
Datestamp
2023-03-17 04:14:32
Abstract :
Events that occurred during 2020 such as adjustments to the application of PSAK 73, the emergence of the 4.0 industrial revolution, the ratification of the Job Creation Act, and other problems had an impact on manufacturing companies, of course, companies that had gone public and were listed on the Indonesia Stock Exchange. The company experienced an increase and decrease in assets and liabilities which significantly affected the company's financial condition which triggered the emergence of financial distress problems. The purpose of this study was to determine the analysis of the application of the Altman, Zmijewski, Ohlson and Fulmer methods to predict financial distress in manufacturing companies listed on the Indonesia Stock Exchange in 2020. This study uses saturated sampling where the entire population is the research sample, namely 188 manufacturing companies. This research method is a descriptive method with a quantitative approach using secondary data in the form of annual financial statements of manufacturing companies in 2020 obtained from the official website of the Indonesia Stock Exchange, namely www.idx.co.id. The results of financial distress prediction research in manufacturing companies listed on the Indonesia Stock Exchange in 2020 are the Altman method has an accuracy rate of 47.34%, the Zmijewski method is 81.38%, the Ohlson method is 57.98% and the Fulmer method is 51.06 %. The Zmijewski method is the most accurate method compared to the other three methods followed by the second position is the Ohlson method, the third position is the Fulmer method and the last position is the Altman method.
Events that occurred during 2020 such as adjustments to the application of PSAK 73, the emergence of the 4.0 industrial revolution, the ratification of the Job Creation Act, and other problems had an impact on manufacturing companies, of course, companies that had gone public and were listed on the Indonesia Stock Exchange. The company experienced an increase and decrease in assets and liabilities which significantly affected the company's financial condition which triggered the emergence of financial distress problems. The purpose of this study was to determine the analysis of the application of the Altman, Zmijewski, Ohlson and Fulmer methods to predict financial distress in manufacturing companies listed on the Indonesia Stock Exchange in 2020. This study uses saturated sampling where the entire population is the research sample, namely 188 manufacturing companies. This research method is a descriptive method with a quantitative approach using secondary data in the form of annual financial statements of manufacturing companies in 2020 obtained from the official website of the Indonesia Stock Exchange, namely www.idx.co.id. The results of financial distress prediction research in manufacturing companies listed on the Indonesia Stock Exchange in 2020 are the Altman method has an accuracy rate of 47.34%, the Zmijewski method is 81.38%, the Ohlson method is 57.98% and the Fulmer method is 51.06 %. The Zmijewski method is the most accurate method compared to the other three methods followed by the second position is the Ohlson method, the third position is the Fulmer method and the last position is the Altman method.
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