金融分析压力模型采用SRINGATE模型的模型,该公司于2018 -2020年上市

GOVERNANCE: Jurnal Politik Lokal Dan Pembangunan
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引用次数: 0

摘要

本研究旨在使用Springate模型预测2019-2020年期间在印度尼西亚证券交易所上市的房地产和房地产行业的财务困境和准确性。本研究的人口是2019-2020年期间在印度尼西亚证券交易所上市的所有房地产和房地产公司,因此本研究的人口设法找到66家公司。根据预先确定的有目的的抽样标准选择样本。按照指定标准选取的样本为37家公司。数据分析技术采用Springate S-Score判别分析技术。使用Springate方法进行破产分析的结果是,在2019年covid-19爆发之前,有27家房地产公司处于财务困境,10家公司处于健康状态(非财务困境)。2020年,在COVID-19大流行期间,又有34家公司陷入财务困境,只有3家公司保持健康状态(非财务困境)。根据对Springate方法在房地产企业破产预测中的分析结果,其准确率为62.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALISIS PREDIKSI FINANCIAL DISTRESS DENGAN MENGGUNAKAN MODEL SRINGATE PADA PERUSAHAAN PROPERTI DAN REAL ESTATE YANG TERDAFTAR DI BEI PERIODE 2019-2020
This study aims to financial distress predict and the level of accuracy using the Springate model in the property and real estate sector listed on the Indonesia Stock Exchange for the 2019-2020 period. The population of this study is all property and real estate companies listed on the Indonesia Stock Exchange for the 2019-2020 period, so the population of this study managed to find 66 companies. Samples were selected based on predetermined purposive sampling criteria. The sample selected according to the specified criteria is 37 companies. The data analysis technique used the Springate S-Score discriminant analysis technique. The results of the bankruptcy analysis using the Springate method, namely in 2019 before the onset of covid-19 there were 27 property and real estate companies in financial distress and 10 companies in healthy condition (non-financial distress). In 2020, during the COVID-19 pandemic, there were additional companies that were in financial distress, namely 34 companies and only 3 companies that remained in a healthy condition (non-financial distress). Based on the results of the analysis of the Springate method in predicting bankruptcy in property and real estate sector companies, it has an accuracy rate of 62.2%.
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