Analisis Financial Distress Dengan Menggunakan Bankruptcy Prediction Models Pada Emiten Rokok Periode 2014-2018 (original) (raw)
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Financial Distress is a condition where a company faces financial problems that can be seen from the company's financial statements. Financial Distress can serve as an indicator before a company goes bankrupt. The development of the financial distress prediction model is a very important topic because it is useful for corporate management to take anticipatory action in the face of signs of bankruptcy. Creditors and investors can also use information about financial distress predictions in credit and investment decisions. This research will be made financial distress prediction model of a manufacturing company in the cigaretts industry sector in BEI using Multivariate Adaptive Regression Splines (MARS) method. The results showed that the best model was chosen from the model with minimum GCV.
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The companies need predict bankruptcy to know about their companies life. Altman Z-Score is one of the methods to predict the bankruptcy. The research use secondary data obtained from financial statement four cigarette companies which are listed in Indonesia Stock Exchange in period 2012-2014. The result from use the Altman formulas to get the value of Z. Value Z will show the companies which healthy category (not bankruptcy), grey area or bankruptcy (financial distress). Result of this study shows that only one cigarette companies indicate bankruptcy or not health. One period indicate that the companies in grey area category and Two periods indicate the companies in bankruptcy category. Keywords: altman Z-Score, bankruptcy, financial distress, financial statement, predict
Analisis Financial Distress Untuk Memprediksi Potensi Kebangkrutan PT. X Yang Terdaftar Di BEI
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Financial distress can occur in every company. If financial distress is not immediately addressed, it can lead to bankruptcy. This study aims to determine the potential for bankruptcy at PT. X is listed on the Indonesia Stock Exchange (IDX) using the Springate model, the Zmijewski model and the Grover model. The method used is a qualitative method. The research sample is a statement of financial position and profit and loss of PT. X the first quarter of 2021 - the first quarter of 2022. The results of the research from the three models used are only the Springate model which predicts the company in a potentially bankrupt condition, while the Zmijewski model and the Grover model predict the company in a non-bankrupt potential condition. Keywords: Financial Distress; Springate Model; Zmijewski Model; Grover Model
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Tujuan penelitian adalah untuk mengetahui dan menganalisis prediksi financial distress dengan menggunakan metode grover dan metode altman Z-score. Penelitian ini digunakan untuk mengetahui apakah perusahaan mengalami financial distress atau tidak. Data yang digunakan adalah data laporan keuangan perusahan, yaitu nerca dan laopran laba rugi. Jenis penelitian yang digunakan adalah penelitian dengan menggunakan pendekatan kuantitatif. Objek penelitian ini adalah perusahaan rokok yang terdaftar di Bursa Efek Indonesia ( BEI ) periode 2013-2018. Populasi sebagai sample pada penelitian terdiri dari empat perusahaan. Dari hasil penelitian dengan menggunakan metode grover semua perusahaan rokok yang terdaftar di Bursa efek Indonesia tidak ada yang mengalami financial distress . Sedangkan pada penilitian metode altman Z-score terdapat satu perusahaan yang mengalami financial distress
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This study aims to find the most accurate predictor model of financial distress. The company has the potential to go bankrupt. Bankruptcy can be predicted using an accurate predictor model as an early warning to anticipate financial distress. This research was conducted on the global retail industry which is included in Kantar's 2019 Top 30 Global Retails (EUR). The data in this study were taken from 60 annual reports for the 2018-2019 period and a sample of 30 on global retail companies. The accuracy rate is calculated by the number of correct predictions divided by the total data and multiplied by one hundred percent. This study compares four predictor models of financial distress, namely the Altman model, the Springate model, the Taffler model, and the Grover model. With the results of the study, the Grover model has the highest level of accuracy, which is 76.67%.
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This study aims to analyze the prediction level of bankruptcy by the method of Altman Z Score on banking companies Go Public during the year 2010-2014, the prediction of performance by using intellectual capital in companies that Go Public during the year 2010-2014 and the influence between intellectual capital against the risk of bankruptcy on Go Public companies are battling for 2010-2014.This research uses quantitative method to know its direct effect. Meanwhile, to analyze the risk of bankruptcy using Altman Z-Score and to analyze intellectual capital using VAIC.The results of this study are a) During 2010 - 2014 the average banking indicated bankrupt 43.45%, 50.34% gray, and not bankrupt 6.21%. B) The average value of intellectual capital in 2010-2014 with the top category of 24.14%, good as much as 38.62%, common as much as 28.28% and bad as much as 8.97%. Thus it can be said that intellectual capital of banking in Indonesia is relatively good to support company performance. C...
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This research aims to determine the effect of the company and good corporate governance on financial distress. The type of data used is secondary data taken from the financial statements of companies, services and investments listed on IDX 2008 - 2018 by using purposive sampling as a research sample research method. Total samples in this study were 75 samples. This study uses a survival analysis method with a cox proportional hazard sub-test. This research produces research results on firm size that have a significant negative impact to the financial distress, while GCG represented by concentration ownership, institutional ownership, foreign ownership, independent commissioners and gender diversity does not significantly impact to the financial distress .
GEMA : Jurnal Gentiaras Manajemen dan Akuntansi, 2017
One way that companies can do to keep the company survive, namely by analyzing the company's financial statements, which aims to determine the state and financial development of the company from year to year. The author conducted a study on tobacco industry companies listed on the stock exchanges of Indonesia. The method used by researchers in researching this research is by case study method with data analysis technique using financial ratio method to know the cigarette company's financial position in Indonesia stock exchange, and bankruptcy method of altman z-score model to know the company's sustainability whether bankruptcy or no. From the results of analysis conducted by researchers, showed that of the four tobacco companies listed on the stock exchanges of Indonesia period 2013 to 2015 the financial position of PT. HM Sampoerna, Tbk which has good financial performance, and on bankruptcy indicator of PT. Bentoel Internasional Investama, Tbk which is categorized as bankrupt. Thus, the company is expected to improve itself by knowing the weaknesses that exist and can immediately make improvements in order to obtain better results in the coming year.
Prediksi Financial Distress Melalui Analisis Kinerja Keuangan Perusahaan
Finansha: Journal of Sharia Financial Management
Penelitian ini bertujuan untuk menganalisis prediksi financial distress melalui analisis kinerja keuangan perusahaan yang digambarkan dari rasio keuangan yaitu profitabilitas, likuiditas, dan leverage. Objek pada penelitian ini adalah perusahaan food and beverage yang terdaftar di Jakarta Islamic Index (JII) periode 2016 – 2020. Pendekatan pada penelitian ini menggunakan pendekatan kuantitatif dengan metode deskriptif analitis. Sampel yang digunakan dalam penelitian ini sebanyak 12 perusahaan dengan jumlah periode data selama 5 tahun yaitu 60 data. Teknis analisis data menggunakan analisis regresi berganda untuk menguji hipotesis. Hasil Penelitian menyimpulkan secara parsial, profitabilitas dan likuiditas berpengaruh positif signifikan dan leverage tidak berpengaruh terhadap financial distress. Secara simultan, menunjukkan bahwa variabel profitabilitas, likuiditas, dan leverage berpengaruh signifikan terhadap financial distress pada perusahaan food and beverage yang terdaftar di ...