Business Feasibility Analysis for Investors in Telecommunications Companies for 2017-2022 Period Using the Financial Distress Model

John Henry Wijaya, D. Saputera, Wahyu Panji Nugraha
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Abstract

This study analyzes the financial viability of Indonesian telecommunications companies from 2017 to 2022 using financial distress models. The research focuses on comparing the Altman Z-Score and Grover models to predict financial distress, evaluating their effectiveness in providing insights for investors. The telecommunications sector in Indonesia has seen rapid growth, driven by increased smartphone penetration, internet access, and the adoption of 5G technology. However, this growth is accompanied by challenges such as intense competition, economic instability, and regulatory changes, which pose risks of financial distress.Financial distress in telecommunications companies is assessed through key financial ratios, examining liquidity, leverage, and profitability. The study utilizes historical financial data from leading telecommunications companies, applying the Zmijewski and Grover models to predict bankruptcy and assess financial health. Results indicate significant variations in financial performance across companies, with some showing stability and others fluctuating between healthy and distressed states.The research identifies critical financial ratios used in performance evaluation and highlights the relevance of each method. Findings suggest that while both models are valuable, the Zmijewski model demonstrates higher accuracy (93%) compared to the Grover model (77%), making it more reliable for predicting financial distress. This study contributes to better financial management practices in the telecommunications sector, offering investors a comprehensive tool for making informed decisions and mitigating risks.
利用财务困境模型对 2017-2022 年期间电信公司投资者的商业可行性分析
本研究利用财务困境模型分析了印度尼西亚电信公司 2017 年至 2022 年的财务生存能力。研究重点是比较预测财务困境的 Altman Z-Score 模型和 Grover 模型,评估它们在为投资者提供见解方面的有效性。在智能手机普及率提高、互联网接入和 5G 技术应用的推动下,印尼电信业实现了快速增长。然而,这种增长也伴随着各种挑战,如激烈的竞争、经济不稳定和监管变化,这些都带来了财务困境的风险。电信公司的财务困境通过关键财务比率进行评估,考察流动性、杠杆率和盈利能力。本研究利用主要电信公司的历史财务数据,运用 Zmijewski 和 Grover 模型来预测破产和评估财务健康状况。研究结果表明,不同公司的财务业绩存在很大差异,有些公司表现稳定,有些公司则在健康和陷入困境之间徘徊。研究结果表明,虽然两种模型都有价值,但 Zmijewski 模型的准确率(93%)高于 Grover 模型(77%),因此在预测财务困境方面更加可靠。这项研究有助于改善电信行业的财务管理实践,为投资者提供一个做出明智决策和降低风险的综合工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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