FINANCIAL PERFORMANCE SEGMENTATION CHANGES ON PROPERTIES AND REAL ESTATE INDUSTRIES FOR ACQUISITION

Dwi Wuryantadi, Jerry Heikal
{"title":"FINANCIAL PERFORMANCE SEGMENTATION CHANGES ON PROPERTIES AND REAL ESTATE INDUSTRIES FOR ACQUISITION","authors":"Dwi Wuryantadi, Jerry Heikal","doi":"10.59141/cerdika.v3i10.692","DOIUrl":null,"url":null,"abstract":"Mergers and acquisitions of companies are generally understood as efforts to develop a company for the better, by combining strengths and/or compensating for weaknesses in one company with strengths in other companies. One of the processes that must be carried out is to find a public company that is feasible to be acquired, according to the problem formulation. How do you determine which prospective companies in the property and real estate industry are eligible for acquisition? Data from 34 issuers were analyzed based on several financial ratios, namely Sales, D/E Ratio, ROA, ROE and NPM and segmented changes in their financial performance into five clusters using the IBM SPSS version 26 application by carrying out K-Mean Cluster Classification, the results of the analysis show. Of the 14 issuers, there were 2 issuers whose sales performance and financial performance deteriorated, namely: LPKR (Lippo Karawaci Tbk) and SMRA (Sumarecon Agung Tbk). There are 12 Issuers that have experienced an increase in Sales Performance and Financial Performance. There is one issuer that has experienced an increase in Sales and Financial Performance of 1 point in a very good cluster position at this time that is eligible to be made an acquirer company, namely BSDE (Bumi Serpong Damai Tbk).","PeriodicalId":9972,"journal":{"name":"Cerdika: Jurnal Ilmiah Indonesia","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cerdika: Jurnal Ilmiah Indonesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59141/cerdika.v3i10.692","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Mergers and acquisitions of companies are generally understood as efforts to develop a company for the better, by combining strengths and/or compensating for weaknesses in one company with strengths in other companies. One of the processes that must be carried out is to find a public company that is feasible to be acquired, according to the problem formulation. How do you determine which prospective companies in the property and real estate industry are eligible for acquisition? Data from 34 issuers were analyzed based on several financial ratios, namely Sales, D/E Ratio, ROA, ROE and NPM and segmented changes in their financial performance into five clusters using the IBM SPSS version 26 application by carrying out K-Mean Cluster Classification, the results of the analysis show. Of the 14 issuers, there were 2 issuers whose sales performance and financial performance deteriorated, namely: LPKR (Lippo Karawaci Tbk) and SMRA (Sumarecon Agung Tbk). There are 12 Issuers that have experienced an increase in Sales Performance and Financial Performance. There is one issuer that has experienced an increase in Sales and Financial Performance of 1 point in a very good cluster position at this time that is eligible to be made an acquirer company, namely BSDE (Bumi Serpong Damai Tbk).
财务业绩细分变化对物业和房地产行业的收购
公司的兼并和收购通常被理解为通过结合一个公司的优势和/或弥补其他公司的优势来使公司发展得更好的努力。必须执行的过程之一是,根据问题的表述,找到一家可行的上市公司。你如何确定哪些房地产行业的潜在公司有资格被收购?分析结果显示,基于销售额、市净率、ROA、ROE和NPM这几个财务比率对34家发行人的数据进行了分析,并使用IBM SPSS version 26应用程序进行K-Mean聚类分类,将其财务绩效的变化分为五个聚类。在14家发行人中,有2家发行人的销售业绩和财务业绩出现恶化,分别是:LPKR(力宝卡拉瓦西Tbk)和SMRA(苏玛瑞康阿冈Tbk)。有12家发行人的销售业绩和财务业绩均有所增长。目前有一家发行人的销售和财务业绩增长了1点,处于非常好的集群位置,有资格成为收购方公司,即BSDE (Bumi Serpong Damai Tbk)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信