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dc.contributor.advisorJafar, Hotmal
dc.contributor.authorTheodora, Charity
dc.date.accessioned2023-06-07T00:52:19Z
dc.date.available2023-06-07T00:52:19Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/85336
dc.description.abstractThis study aims to determine the best delisting predictor for companies listed below the property and real estate subsector in Indonesia Stock Exchange. This study uses Altman Z-Score Model, Zmijewski Model, Springate Model, and Grover Score Model. The object of this study is 38 companies listed below the property and real estate subsector in Indonesia Stock Exchange between 2017 to 2019. This study uses secondary data collected by documentation and literature studies. The methodology of this study involves Purposive Sampling, Descriptive Statistics, the One-Sample Kolmogorov-Smirnov test, the Kruskal-Wallis H test, and the Level of Accuracy test. The results indicate that the best model to predict delisting for property and real estate companies is Zmijewski Model with 98.25% of accuracyen_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectDelistingen_US
dc.subjectAltman Z-Scoreen_US
dc.subjectZmijewskien_US
dc.subjectSpringateen_US
dc.subjectGroveren_US
dc.titleKemampuan Altman Z-Score Model, Zmijewski Model, Springate Model, dan Grover Score Model dalam Memprediksi Delisting (Studi pada Subsektor Properti dan Real Estate yang Terdaftar dalam Bei 2017-2019)en_US
dc.typeThesisen_US
dc.identifier.nimNIM170503148
dc.identifier.nidnNIDN8818040017
dc.identifier.kodeprodiKODEPRODI62201#Akuntansi
dc.description.pages144 Halamanen_US
dc.description.typeSkripsi Sarjanaen_US


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