“Tiga Serangkai” untuk Memprediksi Perusahaan dengan Kesulitan Keuangan Sebelum Masa Pandemi

Resi Ariyasa Qadri, Ika Mutiara Khadijah, B. A. A. Uliansyah
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Abstract

This research aims to foresee financial difficulties in the agricultural industry using three prominent variables: profitability, operating leverage, and liquidity insolvency, before the pandemic. The research employed the documentation technique as the main data collection method. The purposive sampling technique was conducted to obtain the distressed and non-distressed companies during the 2017-2019 period. Multiple discriminant analysis was employed as the data analysis method. Our study reveals that the “big three” factors of profitability, operating leverage, and liquidity insolvency are all capable of differentiating between businesses that are in financial crisis and those that are not. With a model accuracy of 85.700 percent, the “big three” factors can also serve as the determining variables in the discriminant function with profitability as the most influential variable. Keyword: Multiple Discriminant Analysis; Financial Distress; Profitability; Operating Leverage; Liquidity Insolvency
预测疫情前资金困难企业的“三个步骤”
这项研究旨在利用三个突出的变量来预测农业行业的财务困难:在疫情之前的盈利能力、运营杠杆和流动性破产。本研究采用文献技术作为主要的数据收集方法。目的性抽样技术是为了获得2017-2019年期间的不良和非不良公司。数据分析方法采用多元判别分析。我们的研究表明,盈利能力、运营杠杆和流动性破产这“三大”因素都能够区分处于金融危机中的企业和未处于金融危机的企业。模型准确率为85.700%,“三大”因素也可以作为判别函数中的决定变量,盈利能力是最具影响力的变量。关键词:多元判别分析;财务困境;盈利能力运营杠杆;流动性破产
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