Financial Performance Segmentation Changes on Regional Development Banks
Abstract
Merger and acquisition of a banking company are generally understood as efforts to enhance the company by combining strengths or compensating for the weaknesses of one company with the strengths of another. To face the dynamics of the domestic and global economy and information technology, it is necessary to strengthen the structure, resilience, and competitiveness of the national banking industry, which can be achieved by strengthening bank capital and banking consolidation in Indonesia, especially Regional Development Banks. To promote the stability of the banking industry, particularly the strengthening of individual banks, merger and acquisition strategies in the form of banking consolidation need to be considered. Banking consolidation policies are one of the policy options regulators take to strengthen financial system stability. One of the processes that must be carried out is analyzing the performance to find companies that are suitable for acquisition, in accordance with the problem statement: How is the performance of the Regional Development Banks that become acquiring banks, and how is the performance of Regional Development Banks whose core capital does not yet meet regulatory requirements, making them suitable for acquisition. Data from 27 Regional Development Banks were analyzed based on several financial ratios, namely ROA, ROE, NIM, LDR, CAR, and NPL, and the changes in economic performance into five clusters using IBM SPSS version 27 with K-Mean Cluster Classification. The analysis showed that out of the 27 Regional Development Banks, 11 banks experienced a status increase, 10 companies experienced a decrease, and 6 did not change. It was found that the performance of 4 Regional Development Banks that would become acquiring banks is "good" and there are 3 banks, namely Bank Jambi, Bank Kalteng, and Bank Sultra, which are considered very suitable for acquisition with a status of "Very Good".
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References
Deswita, R. Y., & Heikal, J. (2023). Financial performance clustering changes in infrastructure companies in Indonesia during Covid-19 in 2021 and after Covid-19 in 2022. Journal of Economics, Business, and Management Analytics, 3(2).https://jurnal.itscience.org/index.php/jebma/index
Indonesia Stock Exchange. (n.d.). Retrieved July 13, 2024, from https://www.idx.co.id
Nugroho, Y. W., & Haekal, J. (2024). Valuation model for the merger & acquisition of PT Bank Harda Internasional Tbk (BBHI) shares by PT Bank Mega Tbk (MEGA). BUDGETING: Journal of Business, Management and Accounting, 5(2).
Otoritas Jasa Keuangan. (2020). Regulation No. 12/POJK.03/2020 on the Consolidation of Commercial Banks. Jakarta, Indonesia: Otoritas Jasa Keuangan.
Otoritas Jasa Keuangan. (n.d.). Retrieved July 13, 2024, from https://www.ojk.go.id
Riri Yunita, & Jerry Heikal. (2024). Evaluasi Perubahan Segmentasi Kinerja Keuangan PT. KB Bukopin, TBK Sebelum dan Sesudah Akuisisi dengan Metode K-Means Clustering. CBJIS: Cross-Border Journal of Islamic Studies, 6(1), 98-109. https://doi.org/10.37567/cbjis.v6i1.3066
Saumananda Suroso, N., & Heikal, J. (2023). Industry Clustering Model on the Indonesia Stock Exchange in the COVID-19 Pandemic Era Using K-Means. Emerging Markets : Business and Management Studies Journal, 10(1), 29-39.https://doi.org/10.33555/embm.v10i1.202
Soviatun, N., & Heikal, J. (2023). The Changes in Financial Performance Segmentation Using Financial Ratios Pharmaceutical Companies in Indonesia. Cerdika: Jurnal Ilmiah Indonesia, 3(08), 828–839. https://doi.org/10.59141/cerdika.v3i08.688
Wastuti, W., & Hasan, A. (2022). Financial Performance of Islamic Commercial Banks Before and During the Covid-19 Pandemic in Indonesia. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE), 5(2), 549-571. https://doi.org/10.31538/iijse.v5i2.2135
Wuryantadi, D., & Heikal, J. (2023). Financial Performance Segmentation Changes on Properties and Real Estate Industries for Acquisition. Cerdika: Jurnal Ilmiah Indonesia, 3(10), 982–988. https://doi.org/10.59141/cerdika.v3i10.692
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